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Psychological Impact of Languages on the Human Mind: Research on the Contribution of Psycholinguistics Approach to Teaching and Learning English

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Language is one of the essential elements of communication. Learning some common language can help people overcome language barriers between people from different countries. English is one of the common languages and it helps individuals adapt to the modern world. Learning the English language is beneficial through teaching methods developed based on Psycholinguistics principles. Four languages are taught by the approach of psycholinguistics that are (to listen, to read, to write and to speak).Psycholinguistics is the integration of psychology (the study of the mind) and linguistics (the study of language). Hence, Psycholinguistics is the study of mind and language. It investigates the procedure taking place in the brain while the perception and creation of language. It studies the psychological impact of languages on the human mind. Recent research focuses on Psycholinguistics theories and talks over the significant impact of psycholinguistics techniques in English Language studying and training. Psycholinguistic studies are based on various ways of responding in a fundamental way and are based on evidence. This study contributes to our understanding of the importance of psychological approaches in teaching and learning English.

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Beibei, S. Psychological Impact of Languages on the Human Mind: Research on the Contribution of Psycholinguistics Approach to Teaching and Learning English. J Psycholinguist Res 52 , 2027–2045 (2023). https://doi.org/10.1007/s10936-023-09977-w

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1.3 Research Methods in Psycholinguistics

Psycholinguistics employs a number of ways understand language. These range from observational studies, speech error analysis to experiments and neuroimaging techniques. We also use computational models to simulate our theories about the language system. This section will explore some of the techniques employed by researchers. However, keep in mind that we are always developing new techniques to understand how language works.

Mental Chronometry

The study of reaction time on cognitive tasks is a common psychological paradigm in trying to infer the duration, sequence and content of cognition. As seen in Figure 1.5, reaction time (or RT) is measured as the time between the onset of a stimuli and the response by the participant. The mean and the variance of reaction times are considered useful indices on processing speed. The most common form of reaction time experiments are button presses. However, eye movements and voice onset (in repetition and reading tasks) can also be employed.

One of the most popular reaction time paradigms is called priming . Priming is used in almost all areas of psychology. The basic idea is that if two things share some cognitive or psychological attribute, they will either facilitate or interfere with each other. However, it they do not share such similarities, there will be no such effect. For example, it is easier to recognize the word DOG if you have already seen the word CAT. This can be a kind of sematic priming in that both words belong to the same semantic category (ANIMAL). Such an effect is known as facilitation while the interference of slowing down of such an effect if known as interference .

As seen in Figure 1.6, the reasoning behind priming effects can be modelled as a web of interconnected ideas or concepts in the mind. Concepts that are connected semantically (dogs and frogs are both animals) or phonologically (dog and bog end with similar sounds) are more likely to facilitate priming. In Figure 1.6, sematic connections are indicated with straight lines while phonological connects are indicated with dotted lines. The idea is that encountering a stimulus (by seeing or hearing it) will not only activate that concept in the mind but also partially activate connected concepts to some degree. As such, when any one of those connected concepts is presented next, they will be retrieved quicker because they have already been partially activated (or primed) by the previous activation.

Lesion Studies

As the brain is a vulnerable organ, it can be damaged by external or internal trauma. If blood flow and oxygen supply is constricted even for a few minutes to neurons they begin to die. These sites of damage are called lesions . Such trauma can be from accidents, strokes, brain surgery, or the ingestion of certain toxins. Examining these lesions and associating them with the behavioural limitations of such patients can provide valuable information about which regions are responsible for which behaviour. Cognitive Neuropsychology has contributed to psycholinguistics from the earliest times. Perhaps the earliest record of this is from case 20 in the Edwin Smith Papyrus. It is the report of a patient with a head injury which led to the following observation: “…He is speechless. An ailment not to be cured.” A clear case of speech loss due to brain injury. Centuries later, Broca and Wernicke continue with such observation and we will discuss them in Chapter 4 . Cognitive neuropsychology attempts to relate brain-damaged behavioural deficits to models of normal processing. Shallice (1988) overserved that cognitive neuropsychology has made significant advances in associating neurological disorders to cognitive model, emphasized the importance of single case studies over group studies, and contributed to the exploration of impaired brain behaviour as a way towards understanding unimpaired behaviour. While traditional lesion studies were conducted by post-mortem examination and backtracking to analyse the behaviour of the patient while alive, modern neuroimaging techniques allow us to examine lesions in patients while they are alive and conduct behavioural analysis in real time.

Electroencephalography (EEG)

The advent of neuroimaging techniques has led to a flowering of new research in psycholinguistics. While traditional X-rays are not able to provide much detail on the brain, other technology such as the measurement of electrical activity in the brain have provided valuable data. Such techniques include electroencephalography or EEG which measures the brain’s electrical activity by detecting them from electrodes placed on the scalp. An amplifier can then amplify the millivoltage differences across the scalp and provide a continuous reading of brain activity.

Psychologists go even further and measure such electrical activity by tying them to specific events (such as the presentation of a stimulus). Such event-related potential or ERPs can have positive or negative polarities. These peaks in ERP readings are labelled according to their polarity (positive or negative) and the time difference from the stimuli onset (in milliseconds). Some common ERPs include N400 (detected 400ms after stimulus onset as a negative voltage) and P300 (detected 600ms after stimulus onset as a positive voltage). As EEG and ERP are measuring electrical activity, they detect changes in the brain almost instantly. We can say they have very good temporal resolution. However, as they are detecting this electrical potential from the scalp, the signals that are detected tend to be an averaged out one from multiple brain regions and neurons. Therefore, it is not always possible to pinpoint which brain region was actually involved in a particular EEG or ERP signal. In other words, these techniques have poor spatial resolution. Other techniques such as PET and MRI have been developed as a way to increase the spatial resolution of neuroimaging.

Positron Emission Tomography (PET)

PET (positron emission tomography) uses radioactive substances as tracers to produce images of brain activity. As the brain consumes a large amount of energy, injecting glucose into the body ensures that most of it ends up in brain regions that are active in a cognitive task. If the glucose contains isotopes that are radioactive, their emissions can be detected and transformed into images.

PET is employed both as a medical and research tool. As seen in Figure 1.8, a short-lived radioactive isotope is injected into the participant. The most commonly used is F-18 labeled fluorodeoxyglucose (FDG). After a waiting period for the active molecule to become concentrated in the brain tissue (one hour for FDG), the participant is placed inside the scanner. As the tracer decays, its emissions are collected by the scanner. The scanner depends on detecting a pair of photons moving in opposite directions. Photons that do not have a temporal pair are ignored. Computational reconstruction uses statistical analysis and error correction to produce images such as Figure 1.8 which shows a scan of an unimpaired participant.

As you can imagine, the main issue with PET is the injection of radioactive material into the body. Various jurisdictions set standards on the maximum amount of radiation that a person can be exposed to in a year. This means that the same participant can only take part in a small number of PET scans which limits the amount of data collection possible in psychological studies. Another factor is the expense of PET scanners and the radioactive tracers.

Functional Magnetic Resonance Imaging (fMRI)

An alternative to PET that doesn’t use radioactive substances is Magnetic Resonance Imaging (MRI). This employed powerful electromagnets to affect hydrogen atoms. Hydrogen atoms are abundant in humans as water and fat. The atomic nuclei of hydrogen atoms are able to absorb radio frequency energy when placed in a magnetic field. The resulting spin polarization can produce a radio frequency signal that can be detected and analyzed. Varying the parameters of the radio pulse sequence can produce different contrasts between brain tissues based on the properties of their constituent hydrogen atoms. Computational processing of the signals can produce a highly detailed 3D image of the brain. However, this is a static image of the tissues without any indication of brain activity.

Recently, fMRI (functional magnetic resonance imaging) has come to the forefront as a way to overlap MRI scans with images of brain activity. This measures the energy released by hemoglobin in the blood. It is assumed that the areas of the brain that are most active would be the most likely to take in more blood (for energy). Therefore, the measurement of blood flow with different brain regions can indirectly show us a measure of their activation during particular cognitive tasks. This type of scan provides a better temporal and spatial resolution than PET. However, as there is a 1-5 second lag between brain activation and detection, the temporal resolution of fMRI is inferior to EEG.

Comparing Brain Imaging Technology

Neuroimaging is at the forefront of psycholinguistic research into language processing in the brain. They can tell us about the time course of various cognitive processes and the extent to which mental processes interact with each other. However, these techniques are still quite expensive and vary in terms of their temporal and spatial resolutions. As can be seen in Figure 1.10, different techniques vary in terms of how accurately they measure timing and active brain regions. EEG can detect brain activity with high temporal resolution but cannot tell us exactly where they originated. As signals are all detected on the surface of the head, we cannot be sure whether they originated in the cortex or areas deeper inside the brain. On the other hand, PET and fMRI are quite good at providing spatial information. However, as they rely on the flow of fluids (blood), there is a temporal lag between when a brain region become active and when the signal is detected by the scanner.

Methodological limitations also exist as most of these techniques require the participant to be still during the scan. This limits the ability to study overt speech or other movement. In addition, the use of powerful magnets in fMRI means that participants with any metal implants cannot take part in such studies (the metal would fly out of their body towards the scanner).

A more serious limitation of any neuroimaging technique is the difficulty in interpreting the results. How do we know what is causing a particular activity? We can see when or where something is happening, but not necessarily how. Observing neural activity is not the same as observing mental activity. Some studies often average out the results from multiple participants. How can we be sure that all of them are using the same brain regions for similar activities? However, even with such limitations, these methods have opened us to a wide range of insights into the neurological basis of language. As new methods are developed, we may even see these methods employed regularly for research and rehabilitation.

Image descriptions

Figure 1.5 Reaction Time Experiment

A diagram showing the process of testing someone’s reaction time to seeing a number on a computer screen and pressing the number on their keyboard:

• Stimuli: The number 3 appears on the computer screen. The timer starts.
• Sensory: The eyes see the number 3.
• Cortical: The stimuli is processed by the brain.
• Motor: The brain tells the hand to press the number 3 on the keyboard.

[Return to the place in text (Figure 1.5)]

Figure 1.7 Positron Emission Tomography Schema

Function of a PET machine. A scanner detects the emissions of the short-lived radioactive isotope in the brain of the subject, transmits this information to a Coincidence Processing Unit, which is subsequently used to reconstruct an image of the subject’s brain activity.

[Return to place in the text (Figure 1.7)]

Figure 1.9 fMRI Activation in an Emotional Stroop Task

fMRI scans of six brains. The first three images display the brain’s response to expressions, while the last three illustrate the brain’s response to words. Coloured marks from red to yellow are used to qualitatively assess the strength of the brain’s response, in addition to the location of brain activity.

[Return to place in the text (Figure 1.9)]

Figure 1.10 Comparing Brain Imaging Techniques

A labeled, three-dimensional graph comparing the several brain imaging techniques on the axes of Temporal Resolution, Portability, and Spatial Resolution.

Whole brain imaging techniques listed by spatial resolution from low to high:

•  Surface EEG: low spatial resolution, medium portability, high temporal resolution
• MEG: low spatial resolution, high portability, high temporal resolution
• PET: low spatial resolution, low portability, low temporal resolution
• fNIRS: low spatial resolution, high portability, medium temporal resolution
• fMRI: low spatial resolution, low portability, medium temporal resolution
• Functional Ultrasound

Local brain imaging techniques listed by spatial resolution from low to high:

• Optical imaging: high spatial resolution, high portability, high temporal resolution
• Implanted EEG: high spatial resolution, high portability, high temporal resolution

[Return to place in the text (Figure 1.10)]

Media Attributions

• Figure 1.5 Reaction Time Experiment by Emily Willoughby is licensed under a CC BY-SA 4.0 licence .
• Figure 1.6 A Model Priming We b by Noahrob is licensed under a CC BY-SA 4.0 licence .
• Figure 1.7 Positron Emission Tomography Schema by Jens Maus is in the  Public Domain .
• Figure 1.8 A PET Scan of an Unimpaired Brain by the US National Institute on Aging, Alzheimer’s Disease Education and Referral Center is in the Public Domain .
• Figure 1.9 fMRI Activation in an Emotional Stroop Task by Shima Ovaysikia, Khalid A. Tahir, Jason L. Chan and Joseph F. X. DeSouza is licensed under a CC BY 2.5 licence .
• Figure 1.10 Comparing Brain Imaging Techniques by Thomas Deffieux, Charlie Demene, Mathieu Pernot, Mickael Tanter is licensed under a CC BY 4.0 licence .

The temporal measure of the time taken between detecting a stimulus and the response to that stimulus.

A phenomenon where exposure to a stimulus influences the response time to a subsequent stimulus.

A damaged or abnormally changed tissue caused by disease or trauma.

Electroencephalography (EEG) is an electrophysiological measurement technique used to record electrical activity on the scalp. This activity represents the electoral activity on the surface of the brain underneath the scalp.

Positron emission tomography is a technique that uses radioactive substances to measure metabolic changes and other physiological changes such as blood flow.

Functional magnetic resonance imaging or functional MRI is a measurement technique used to detect changes in blood flow within the brain.

The way humans use language to communicate and how it is processed and comprehended.

Psychology of Language Copyright © 2021 by Dinesh Ramoo is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

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• Published: 19 February 2024
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Approaching the neuroscience of language

• Marika Gobbo   ORCID: orcid.org/0000-0002-9691-2287 1 , 2  

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Language enables humans to communicate, share ideas, and express feelings and emotions. When I approached the study of the relationship between language and the brain, I was fascinated by the brain’s wonderful and precisely orchestrated functioning.

Over the past two centuries, the neural correlates of language have been the focus of extensive research. Hickok and Poeppel’s dual stream framework of language perception left a mark in this field. Their 2004 paper also inspired me as an undergraduate student to pursue a doctoral programme.

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Hickok, G. & Poeppel, D. Dorsal and ventral streams: a framework for understanding aspects of the functional anatomy of language. Cognition 92 , 67–99 (2004)

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Trends and hot topics in linguistics studies from 2011 to 2021: A bibliometric analysis of highly cited papers

Associated data.

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ supplementary material .

High citations most often characterize quality research that reflects the foci of the discipline. This study aims to spotlight the most recent hot topics and the trends looming from the highly cited papers (HCPs) in Web of Science category of linguistics and language & linguistics with bibliometric analysis. The bibliometric information of the 143 HCPs based on Essential Citation Indicators was retrieved and used to identify and analyze influential contributors at the levels of journals, authors, and countries. The most frequently explored topics were identified by corpus analysis and manual checking. The retrieved topics can be grouped into five general categories: multilingual-related , language teaching , and learning related , psycho/pathological/cognitive linguistics-related , methods and tools-related , and others . Topics such as bi/multilingual(ism) , translanguaging , language/writing development , models , emotions , foreign language enjoyment (FLE) , cognition , anxiety are among the most frequently explored. Multilingual and positive trends are discerned from the investigated HCPs. The findings inform linguistic researchers of the publication characteristics of the HCPs in the linguistics field and help them pinpoint the research trends and directions to exert their efforts in future studies.

1. Introduction

Citations, as a rule, exhibit a skewed distributional pattern over the academic publications: a few papers accumulate an overwhelming large citations while the majority are rarely, if ever, cited. Correspondingly, the highly cited papers (HCPs) receive the greatest amount of attention in the academia as citations are commonly regarded as a strong indicator of research excellence. For academic professionals, following HCPs is an efficient way to stay current with the developments in a field and to make better informed decisions regarding potential research topics and directions to exert their efforts. For academic institutions, government and private agencies, and generally the science policy makers, they keep a close eye on and take advantage of this visible indicator, citations, to make more informed decisions on research funding allocation and science policy formulation. Under the backdrop of ever-growing academic outputs, there is noticeable attention shift from publication quantity to publication quality. Many countries are developing research policies to identify “excellent” universities, research groups, and researchers ( Danell, 2011 ). In a word, HCPs showcase high-quality research, encompass significant themes, and constitute a critical reference point in a research field as they are “gold bullion of science” ( Smith, 2007 ).

2. Literature review

Bibliometrics, a term coined by Pritchard (1969) , refers to the application of mathematical methods to the analysis of academic publications. Essentially this is a quantitative method to depict publication patterns within a given field based on a body of literature. There are many bibliometric studies on natural and social sciences in general ( Hsu and Ho, 2014 ; Zhu and Lei, 2022 ) and on various specific disciplines such as management sciences ( Liao et al., 2018 ), biomass research ( Chen and Ho, 2015 ), computer sciences ( Xie and Willett, 2013 ), and sport sciences ( Mancebo et al., 2013 ; Ríos et al., 2013 ), etc. In these studies, researchers tracked developments, weighed research impacts, and highlighted emerging scientific fronts with bibliometric methods. In the field of linguistics, bibliometric studies all occurred in the past few years ( van Doorslaer and Gambier, 2015 ; Lei and Liao, 2017 ; Gong et al., 2018 ; Lei and Liu, 2018 , 2019 ). These bibliometric studies mostly examined a sub-area of linguistics, such as corpus linguistics ( Liao and Lei, 2017 ), translation studies ( van Doorslaer and Gambier, 2015 ), the teaching of Chinese as a second/foreign language ( Gong et al., 2018 ), academic journals like System ( Lei and Liu, 2018 ) or Porta Linguarum ( Sabiote and Rodríguez, 2015 ), etc. Although Lei and Liu (2019) took the entire discipline of linguistics under investigation, their research is exclusively focused on applied linguistics and restricted in a limited number of journals (42 journals in total), leaving publications in other linguistics disciplines and qualified journals unexamined.

Over the recent years, a number of studies have been concerned with “excellent” papers or HCPs. For example, Small (2004) surveyed the HCPs authors’ opinions on why their papers are highly cited. The strong interest, the novelty, the utility, and the high importance of the work were among the most frequently mentioned. Most authors also considered that their selected HCPs are indeed based on their most important work in their academic career. Aksnes (2003) investigated the characteristics of HCPs and found that they were generally authored by a large number of scientists, often involving international collaboration. Some researchers even attempted to predict the HCPs by building mathematical models, implying “the first mover advantage in scientific publication” ( Newman, 2008 , 2014 ). In other words, papers published earlier in a field generally are more likely to accumulate more citations than those published later. Although many papers addressed HCPs from different perspectives, they held a common belief that HCPs are very different from less or zero cited papers and thus deserve utmost attention in academic research ( Aksnes, 2003 ; Blessinger and Hrycaj, 2010 ; Yan et al., 2022 ).

Although an increased focus on research quality can be observed in different fields, opinions diverge on the range and the inclusion criterion of excellent papers. Are they ‘highly cited’, ‘top cited’, or ‘most frequently cited’ papers? Aksnes (2003) noted two different approaches to define a highly cited article, involving absolute or relative thresholds, respectively. An absolute threshold stipulates a minimum number of citations for identifying excellent papers while a relative threshold employs the percentile rank classes, for example, the top 10% most highly cited papers in a discipline or in a publication year or in a publication set. It is important to note that citations differ significantly in different fields and disciplines. A HCP in natural sciences generally accumulates more citations than its counterpart in social sciences. Thus, it is necessary to investigate HCPs from different fields separately or adopt different inclusion criterion to ensure a valid comparison.

The present study has been motivated by two considerations. First, the sizable number of publications of varied qualities in a scientific field makes it difficult or even impossible to conduct any reliable and effective literature research. Focusing on the quality publications, the HCPs in particular, might lend more credibility to the findings on trends. Second, HCPs can serve as a great platform to discover potentially important information for the development of a discipline and understand the past, present, and future of the scientific structure. Therefore, the present study aims to investigate the hot topics and publication trends in the Web of Science category of linguistics or language & linguistics (shortened as linguistics in later references) with bibliometric methods. The study aims to answer the following three questions:

• Who are the most productive and impactful contributors of the HCPs in WoS category of linguistics or language & linguistics in terms of publication venues, authors, and countries?
• What are the most frequently explored topics in HCPs?
• What are the general research trends revealed from the HCPs?

3. Materials and methods

Different from previous studies which used an arbitrary inclusion threshold (e.g., Blessinger and Hrycaj, 2010 ; Hsu and Ho, 2014 ), we rely on Essential Science Indicator (ESI) to identify the HCPs. Developed by Clarivate, a leading company in the areas of bibliometrics and scientometrics, ESI reveals emerging science trends as well as influential individuals, institutions, papers, journals, and countries in any scientific fields of inquiry by drawing on the complete WoS databases. ESI has been chosen for the following three reasons. First, ESI adopts a stricter inclusion criterion for HCPs identification. That is, a paper is selected as a HCP only when its citations exceed the top 1% citation threshold in each of the 22 ESI subject categories. Second, ESI is widely used and recognized for its reliability and authority in identifying the top-charting work, generating “excellent” metrics including hot and highly cited papers. Third, ESI automatically updates its database to generate the most recent HCPs, especially suitable for trend studies for a specified timeframe.

3.1. Data source

The data retrieval was completed at the portal of our university library on June 20, 2022. The methods to retrieve the data are described in Table 1 . The bibliometric indicators regarding the important contributors at journal/author/country levels were obtained. Specifically, after the research was completed, we clicked the “Analyze Results” bar on the result page for the detailed descriptive analysis of the retrieved bibliometric data.

Retrieval strategies.

Several points should be noted about the search strategies. First, we searched the bibliometric data from two sub-databases of WoS core collection: Social Science Citation Index (SSCI) and Arts & Humanities Citation Index (A&HCI). There is no need to include the sub-database of Science Citation Index Expanded (SCI-EXPANDED) because publications in the linguistics field are almost exclusively indexed in SSCI and A&HCI journals. WoS core collection was chosen as the data source because it boasts one of the most comprehensive and authoritative databases of bibliometric information in the world. Many previous studies utilized WoS to retrieve bibliometric data. van Oorschot et al. (2018) and Ruggeri et al. (2019) even indicated that WoS meets the highest standards in terms of impact factor and citation counts and hence guarantees the validity of any bibliometric analysis. Second, we do not restrict the document types as HCPs selection informed by ESI only considers articles and reviews. Third, we do not set the date range as the dataset of ESI-HCPs is automatically updated regularly to include the most recent 10 years of publications.

The aforementioned query obtained a total of 143 HCPs published in 48 journals contributed by 352 authors of 226 institutions. We then downloaded the raw bibliometric parameters of the 143 HCPs for follow-up analysis including publication years, authors, publication titles, countries, affiliations, abstracts, citation reports, etc. A complete list of the 143 HCPs can be found in the Supplementary Material . We collected the most recent impact factor (IF) of each journal from the 2022 Journal Citation Reports (JCR).

3.2. Data analysis

3.2.1. citation analysis.

A citation threshold is the minimum number of citations obtained by ranking papers in a research field in descending order by citation counts and then selecting the top fraction or percentage of papers. In ESI, the highly cited threshold reveals the minimum number of citations received by the top 1% of papers from each of the 10 database years. In other words, a paper has to meet the minimum citation threshold that varies by research fields and by years to enter the HCP list. Of the 22 research fields in ESI, Social Science, General is a broad field covering a number of WoS categories including linguistics and language & linguistics . We checked the ESI official website to obtain the yearly highly cited thresholds in the research field of Social Science , General as shown in Figure 1 ( https://esi.clarivate.com/ThresholdsAction.action ). As we can see, the longer a paper has been published, the more citations it has to receive to meet the threshold. We then divided the raw citation numbers of HCPs with the Highly Cited Thresholds in the corresponding year to obtain the normalized citations for each HCP.

Highly cited thresholds in the research field of Social Sciences, General.

3.2.2. Corpus analysis and manual checking

To determine the most frequently explored topics in these HCPs, we used both corpus-based analysis of word frequency and manual checking. Specifically, the more frequently a word or phrase occurs in a specifically designed corpus, the more likely it constitutes a research topic. In this study, we built an Abstract corpus with all the abstracts of the 143 HCPs, totaling 24,800 tokens. The procedures to retrieve the research topics in the Abstract corpus were as follows. First, the 143 pieces of abstracts were saved as separate .txt files in one folder. Second, AntConc ( Anthony, 2022 ), a corpus analysis tool for concordancing and text analysis, was employed to extract lists of n-grams (2–4) in decreasing order of frequency. We also generated a list of individual nouns because sometimes individual nouns can also constitute research topics. Considering our small corpus data, we adopted both frequency (3) and range criteria (3) for topic candidacy. That is, a candidate n-gram must occur at least 3 times and in at least 3 different abstract files. The frequency threshold guarantees the importance of the candidate topics while the range threshold guarantees that the topics are not overly crowded in a few number of publications. In this process, we actually tested the frequency and range thresholds several rounds for the inclusion of all the potential topics. In total, we obtained 531 nouns, 1,330 2-grams, 331 3-grams, and 81 4-grams. Third, because most of the retrieved n-grams cannot function as meaningful research topics, we manually checked all the candidate items and discussed extensively to decide their roles as potential research topics until full agreements were reached. Finally, we read all the abstracts of the 143 HCPs to further validate their roles as research topics. In the end, we got 118 topic items in total.

4.1. Main publication venues of HCPs

Of the 48 journals which published the 143 HCPs, 17 journals have contributed at least 3 HCPs ( Table 2 ), around 71.33% of the total examined HCPs (102/143), indicating that HCPs tend to be highly concentrated in a limited number of journals. The three largest publication outlets of HCPs are Bilingualism Language and Cognition (16), International Journal of Bilingual Education and Bilingualism (11), and Modern Language Journal (10). Because each journal varies greatly in the number of papers published per year and the number of HCPs is associated with journal circulations, we divided the total number of papers (TP) in the examined years (2011–2021) with the number of the HCPs to acquire the HCP percentage for each journal (HCPs/TP). The three journals with the highest HCPs/TP percentage are Annual Review of Applied Linguistics (2.26), Modern Language Journal (2.08), and Bilingualism Language and Cognition (1.74), indicating that papers published in these journals have a higher probability to enter the HCPs list.

Top 17 publication venues of HCPs.

N: the number of HCPs in each journal; N%: the percentage of HCPs in each journal in the total of 143 HCPs; TP: the total number of papers in the examined timespan (2011–2021); N/TP %: the percentage of HCPs in the total journal publications in the examined time span; TC/HCP: average citations of each HCP; R: journal ranking for the designated indicator; IF: Impact Factor in the year of 2022.

In terms of the general impact of the HCPs from each journal, we divided the number of HCPs with their total citations (TC) to obtain the average citations for each HCP (TC/HCP). The three journals with the highest TC/HCP are Journal of Memory and Language (837.86), Computational Linguistics (533.75), and Journal of Pragmatics (303.75). It indicates that even in the same WoS category, HCPs in different journals have strikingly different capability to accumulate citations. For example, the TC/HCP in System is as low as 31.73, which is even less than 4% of the highest TC/HCP in Journal of Memory and Language .

In regards to the latest journal impact factor (IF) in 2022, the top four journals with the highest IF are Computational Linguistics (7.778) , Modern Language Journal (7.5), Computer Assisted Language Learning (5.964), and Language Learning (5.24). According to the Journal Citation Reports (JCR) quantile rankings in WoS category of linguistics , all the journals on the list belong to the Q 1 (the top 25%), indicating that contributors are more likely to be attracted to contribute and cite papers in these prestigious high impact journals.

4.2. Authors of HCPs

A total of 352 authors had their names listed in the 143 HCPs, of whom 33 authors appeared in at least 2 HCPs as shown in Table 3 . We also provided in Table 3 other indicators to evaluate the authors’ productivity and impact including the total number of citations (TC), the number of citations per HCP, and the number of First author or Corresponding author HCPs (FA/CA). The reason we include the FA/CA indicator is that first authors and corresponding authors are usually considered to contribute the most and should receive greater proportion of credit in academic publications ( Marui et al., 2004 ; Dance, 2012 ).

Authors with at least 2 HCPs.

N: number of HCPs from each author; FA/CA: first author or corresponding author HCPs; TC: total citations of the HCPs from each author; C/HCP: average citations per HCP for each author.

In terms of the number of HCPs, Dewaele JM from Birkbeck Univ London tops the list with 7 HCPs with total citations of 492 (TC = 492), followed by Li C from Huazhong Univ Sci & Technol (#HCPs = 5; TC = 215) and Saito K from UCL (#HCPs = 5; TC = 576). It is to be noted that both Li C and Saito K have close academic collaborations with Dewaele JM . For example, 3 of the 5 HCPs by Li C are co-authored with Dewaele JM . The topics in their co-authored HCPs are mostly about foreign language learning emotions such as boredom , anxiety , enjoyment , the measurement , and positive psychology .

In regards to TC, Li, W . from UCL stands out as the most influential scholar among all the listed authors with total citations of 956 from 2 HCPs, followed by Norton B from Univ British Columbia (TC = 915) and Vasishth S from Univ Potsdam (TC = 694). The average citations per HCP from them are also the highest among the listed authors (478, 305, 347, respectively). It is important to note that Li, W.’ s 2 HCPs are his groundbreaking works on translanguaging which almost become must-reads for anyone who engages in translanguaging research ( Li, 2011 , 2018 ). Besides, Li, W. single authors his 2 HCPs, which is extremely rare as HCPs are often the results from multiple researchers. Norton B ’s HCPs are exploring some core issues in applied linguistics such as identity and investment , language learning , and social change that are considered the foundational work in its field ( Norton and Toohey, 2011 ; Darvin and Norton, 2015 ).

From the perspective of FA/CA papers, Li C from Huazhong Univ Sci and Technol is prominent because she is the first author of all her 5 HCPs. Her research on language learning emotions in the Chinese context is gaining widespread recognition ( Li et al., 2018 , 2019 , 2021 ; Li, 2019 , 2021 ). However, as a newly emerging researcher, most of her HCPs are published in the very recent years and hence accumulate relatively fewer citations (TC = 215). Mondada L from Univ Basel follows closely and single authors her 3 HCPs. Her work is mostly devoted to conversation analysis , multimodality , and social interaction ( Mondada, 2016 , 2018 , 2019 ).

We need to mention the following points regarding the productive authors of HCPs. First, when we calculated the number of HCPs from each author, only the papers published in the journals indexed in the investigated WoS categories were taken in account ( linguistics; language & linguistics ), which came as a compromise to protect the linguistics oriented nature of the HCPs. For example, Brysbaert M from Ghent University claimed a total of 8 HCPs at the time of the data retrieval, of which 6 HCPs were published in WoS category of psychology and more psychologically oriented, hence not included in our study. Besides, all the authors on the author list were treated equally when we calculated the number of HCPs, disregarding the author ordering. That implies that some influential authors may not be able to enter the list as their publications are comparatively fewer. Second, as some authors reported different affiliations at their different career stages, we only provide their most recent affiliation for convenience. Third, it is highly competitive to have one’s work selected as HCPs. The fact that a majority of the HCPs authors do not appear in our productive author list does not diminish their great contributions to this field. The rankings in Table 3 does not necessarily reflect the recognition authors have earned in academia at large.

4.3. Productive countries of HCPs

In total, the 143 HCPs originated from 33 countries. The most productive countries that contributed at least three HCPs are listed in Table 4 . The USA took an overwhelming lead with 59 HCPs, followed distantly by England with 31 HCPs. They also boasted the highest total citations (TC = 15,770; TC = 9,840), manifesting their high productivity and strong influence as traditional powerhouses in linguistics research. In regards to the average citations per HCP, Germany , England and the USA were the top three countries (TC/HCP = 281.67, 281.14, and 267.29, respectively). Although China held the third position with 19 HCPs published, its TC/HCP is the third from the bottom (TC/HCP = 66.84). One of the important reasons is that 13 out of the 19 HCPs contributed by scholars in China are published in the year of 2020 or 2021. The newly published HCPs may need more time to accumulate citations. Besides, 18 out of the 19 HCPs in China are first author and/or corresponding authors, indicating that scholars in China are becoming more independent and gaining more voice in English linguistics research.

Top 18 countries with at least 3 HCPs.

Two points should be noted here as to the productive countries. First, we calculated the HCP contributions from the country level instead of the region level. In other words, HCP contributions from different regions of the same country will be combined in the calculation. For example, HCPs from Scotland were added to the HCPs from England . HCPs from Hong Kong , Macau , and Taiwan are put together with the HCPs from Mainland China . In this way, a clear picture of the HCPs on the country level can be painted. Second, we manually checked the address information of the first author and corresponding author for each HCP. There are some cases where the first author or the corresponding author may report affiliations from more than one country. In this case, every country in their address list will be treated equally in the FA/CA calculation. In other word, a HCP may be classified into more than one country because of the different country backgrounds of the first and/or the corresponding author.

4.4. Top 20 HCPs

The top 20 HCPs with the highest normed citations are listed in decreasing order in Table 5 . The top cited publications can guide us to better understand the development and research topics in recent years.

Top 20 HCPs.

To save space, not full information about the HCPs is given. Some article titles have been abbreviated if they are too lengthy; for the authors, we report the first two authors and use “et al” if there are three authors or more; RC: raw citations; NC: normalized citations

By reading the titles and the abstracts of these top HCPs, we categorized the topics of the 20 HCPs into the following five groups: (i) statistical and analytical methods in (psycho)linguistics such as sentimental analysis, sentence simplification techniques, effect sizes, linear mixed models (#1, 3, 4, 6, 9, 14), (ii) language learning/teaching emotions such enjoyment, anxiety, boredom, stress (#11, 15, 16, 18, 19), (iii) translanguaging or multilinguilism (#5, 13, 20, 17), (iv) language perception (#2, 7, 10), (v) medium of instruction (#8, 12). It is no surprise that 6 out of the top 20 HCPs are about statistical methods in linguistics because language researchers aspire to employ statistics to make their research more scientific. Besides, we noticed that the papers on language teaching/learning emotions on the list are all published in the year of 2020 and 2021, indicating that these emerging topics may deserve more attention in future research. We also noticed two Covid-19 related articles (#16, 19) explored the emotions teachers and students experience during the pandemic, a timely response to the urgent need of the language learning and teaching community.

It is of special interest to note that papers from the journals indexed in multiple JCR categories seem to accumulate more citations. For example, Journal of Memory and Language , American Journal of Speech-Language Pathology , and Computational Linguistics are indexed both in SSCI and SCIE and contribute the top 4 HCPs, manifesting the advantage of these hybrid journals in amassing citations compared to the conventional language journals. Besides, different to findings from Yan et al. (2022) that most of the top HCPs in the field of radiology are reviews in document types, 19 out of the top 20 HCPs are research articles instead of reviews except Macaro et al. (2018) .

4.5. Most frequently explored topics of HCPs

After obtaining the corpus based topic items, we read all the titles and abstracts of the 143 HCPs to further validate their roles as research topics. Table 6 presents the top research topics with the observed frequency of 5 or above. We grouped these topics into five broad categories: bilingual-related, language learning/teaching-related, psycho/pathological/cognitive linguistics-related, methods and tools-related, and others . The observed frequency count for each topic in the abstract corpus were included in the brackets. We found that about 34 of the 143 HCPs are exploring bilingual related issues, the largest share among all the categorized topics, testifying its academic popularity in the examined timespan. Besides, 30 of the 143 HCPs are investigating language learning/teaching-related issues, with topics ranging from learners (e.g., EFL learners, individual difference) to multiple learning variables (e.g., learning strategy, motivation, agency). The findings here will be validated by the analysis of the keywords.

Categorization of the most explored research topics.

N: the number of the HCPs in each topic category; ELF: English as a lingua franca; CLIL: content and language integrated learning; FLE: foreign language enjoyment; FLCA: foreign language classroom anxiety

Several points should be mentioned regarding the topic candidacy. First, for similar topic expressions, we used a cover term and added the frequency counts. For example, multilingualism is a cover term for bilinguals, bilingualism, plurilingualism, and multilingualism . Second, for nouns of singular and plural forms (e.g., emotion and emotions ) or for items with different spellings (e.g., meta analysis and meta analyses ), we combined the frequency counts. Third, we found that some longer items (3 grams and 4 grams) could be subsumed to short ones (2 grams or monogram) without loss of essential meaning (e.g., working memory from working memory capacity ). In this case, the shorter ones were kept for their higher frequency. Fourth, some highly frequent terms were discarded because they were too general to be valuable topics in language research, for example, applied linguistics , language use , second language .

5. Discussion and implications

Based on 143 highly cited papers collected from the WoS categories of linguistics , the present study attempts to present a bird’s eye view of the publication landscape and the most updated research themes reflected from the HCPs in the linguistics field. Specifically, we investigated the important contributors of HCPs in terms of journals, authors and countries. Besides, we spotlighted the research topics by corpus-based analysis of the abstracts and a detailed analysis of the top HCPs. The study has produced several findings that bear important implications.

The first finding is that the HCPs are highly concentrated in a limited journals and countries. In regards to journals, those in the spheres of bilingualism and applied linguistics (e.g., language teaching and learning) are likely to accumulate more citations and hence to produce more HCPs. Journals that focus on bilingualism from a linguistic, psycholinguistic, and neuroscientific perspective are the most frequent outlets of HCPs as evidenced by the top two productive journals of HCPs, Bilingualism Language and Cognition and International Journal of Bilingual Education and Bilingualism . This can be explained by the multidisciplinary nature of bilingual-related research and the development of cognitive measurement techniques. The merits of analyzing publication venues of HCPs are two folds. One the one hand, it can point out which sources of high-quality publications in this field can be inquired for readers as most of the significant and cutting-edge achievements are concentrated in these prestigious journals. On the other hand, it also provides essential guidance or channels for authors or contributors to submit their works for higher visibility.

In terms of country distributions, the traditional powerhouses in linguistics research such as the USA and England are undoubtedly leading the HCP publications in both the number and the citations of the HCPs. However, developing countries are also becoming increasing prominent such as China and Iran , which could be traceable in the funding and support of national language policies and development policies as reported in recent studies ( Ping et al., 2009 ; Lei and Liu, 2019 ). Take China as an example. Along with economic development, China has given more impetus to academic outputs with increased investment in scientific research ( Lei and Liao, 2017 ). Therefore, researchers in China are highly motivated to publish papers in high-quality journals to win recognition in international academia and to deal with the publish or perish pressure ( Lee, 2014 ). These factors may explain the rise of China as a new emerging research powerhouse in both natural and social sciences, including English linguistics research.

The second finding is the multilingual trend in linguistics research. The dominant clustering of topics regarding multilingualism can be understood as a timely response to the multilingual research fever ( May, 2014 ). 34 out of the 143 HCPs have such words as bilingualism, bilingual, multilingualism , translanguaging , etc., in their titles, reflecting a strong multilingual tendency of the HCPs. Multilingual-related HCPs mainly involve three aspects: multilingualism from the perspectives of psycholinguistics and cognition (e.g., Luk et al., 2011 ; Leivada et al., 2020 ); multilingual teaching (e.g., Schissel et al., 2018 ; Ortega, 2019 ; Archila et al., 2021 ); language policies related to multilingualism (e.g., Shen and Gao, 2018 ). As a pedagogical process initially used to describe the bilingual classroom practice and also a frequently explored topic in HCPs, translanguaging is developed into an applied linguistics theory since Li’s Translanguaging as a Practical Theory of Language ( Li, 2018 ). The most common collocates of translanguaging in the Abstract corpus are pedagogy/pedagogies, practices, space/spaces . There are two main reasons for this multilingual turn. First, the rapid development of globalization, immigration, and overseas study programs greatly stimulate the use and research of multiple languages in different linguistic contexts. Second, in many non-English countries, courses are delivered through languages (mostly English) besides their mother tongue ( Clark, 2017 ). Students are required to use multiple languages as resources to learn and understand subjects and ideas. The burgeoning body of English Medium Instruction literature in higher education is in line with the rising interest in multilingualism. Due to the innate multidisciplinary nature, it is to be expected that, multilingualism, the topic du jour, is bound to attract more attention in the future.

The third finding is the application of Positive Psychology (PP) in second language acquisition (SLA), that is, the positive trend in linguistic research. In our analysis, 20 out of 143 HCPs have words or phrases such as emotions, enjoyment, boredom, anxiety , and positive psychology in their titles, which might signal a shift of interest in the psychology of language learners and teachers in different linguistic environments. Our study shows Foreign language enjoyment (FLE) is the most frequently explored emotion, followed by foreign language classroom anxiety (FLCA), the learners’ metaphorical left and right feet on their journey to acquiring the foreign language ( Dewaele and MacIntyre, 2016 ). In fact, the topics of PP are not entirely new to SLA. For example, studies of language motivations, affections, and good language learners all provide roots for the emergence of PP in SLA ( Naiman, 1978 ; Gardner, 2010 ). In recent years, both research and teaching applications of PP in SLA are building rapidly, with a diversity of topics already being explored such as positive education and PP interventions. It is to be noted that SLA also feeds back on PP theories and concepts besides drawing inspirations from it, which makes it “an area rich for interdisciplinary cross-fertilization of ideas” ( Macintyre et al., 2019 ).

It should be noted that subjectivity is involved when we decide and categorize the candidate topic items based on the Abstract corpus. However, the frequency and range criteria guarantee that these items are actually more explored in multiple HCPs, thus indicating topic values for further investigation. Some high frequent n-grams are abandoned because they are too general or not meaningful topics. For example, applied linguistics is too broad to be included as most of the HCPs concern issues in this research line instead of theoretical linguistics. By meaningful topics, we mean that the topics can help journal editors and readers quickly locate their interested fields ( Lei and Liu, 2019 ), as the author keywords such as bilingualism , emotions , and individual differences . The examination of the few 3/4-grams and monograms (mostly nouns) revealed that most of them were either not meaningful topics or they could be subsumed in the 2-grams. Besides, there is inevitably some overlapping in the topic categorizations. For example, some topics in the language teaching and learning category are situated and discussed within the context of multilingualism. The merits of topic categorizations are two folds: to better monitor the overlapping between the Abstract corpus-based topic items and the keywords; to roughly delineate the research strands in the HCPs for future research.

It should also be noted that all the results were based on the retrieved HCPs only. The study did not aim to paint a comprehensive and full picture of the whole landscape of linguistic research. Rather, it specifically focused on the most popular literature in a specified timeframe, thus generating the snapshots or trends in linguistic research. One of the important merits of this methodology is that some newly emerging but highly cited researchers can be spotlighted and gain more academic attention because only the metrics of HCPs are considered in calculation. On the contrary, the exclusion of some other highly cited researchers in general such as Rod Ellis and Ken Hyland just indicates that their highly cited publications are not within our investigated timeframe and cannot be interpreted as their diminishing academic influence in the field. Besides, the study does not consider the issue of collaborators or collaborations in calculating the number of HCPs for two reasons. First, although some researchers are regular collaborators such as Li CC and Dewaele JM, their individual contribution can never be undermined. Second, the study also provides additional information about the number of the FA/CA HCPs from each listed author, which may aid readers in locating their interested research.

We acknowledge that our study has some limitations that should be addressed in future research. First, our study focuses on the HCPs extracted from WoS SSCI and A&HCI journals, the alleged most celebrated papers in this field. Future studies may consider including data from other databases such as Scopus to verify the findings of the present study. Second, our Abstract corpus-based method for topic extraction involved human judgement. Although the final list was the result of several rounds of discussions among the authors, it is difficult or even impossible to avoid subjectivity and some worthy topics may be unconsciously missed. Therefore, future research may consider employing automatic algorithms to extract topics. For example, a dependency-based machine learning approach can be used to identify research topics ( Zhu and Lei, 2021 ).

Data availability statement

Author contributions.

SY: conceptualization and methodology. SY and LZ: writing-review and editing and writing-original draft. All authors contributed to the article and approved the submitted version.

This work was supported by Humanities and Social Sciences Youth Fund of China MOE under the grant 20YJC740076 and 18YJC740141.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1052586/full#supplementary-material

• Aksnes D. W. (2003). Characteristics of highly cited papers . Res. Eval. 12 , 159–170. doi: 10.3152/147154403781776645 [ CrossRef ] [ Google Scholar ]
• Anthony L. (2022). AntConc (version 4.0.5) Tokyo, Japan: Waseda University. Available at: https://www.laurenceanthony.net/software (Accessed June 20, 2022).
• Archila P. A., Molina J., Truscott de Mejía A.-M. (2021). Fostering bilingual scientific writing through a systematic and purposeful code-switching pedagogical strategy . Int. J. Biling. Educ. Biling. 24 , 785–803. doi: 10.1080/13670050.2018.1516189 [ CrossRef ] [ Google Scholar ]
• Blessinger K., Hrycaj P. (2010). Highly cited articles in library and information science: an analysis of content and authorship trends . Libr. Inf. Sci. Res. 32 , 156–162. doi: 10.1016/j.lisr.2009.12.007 [ CrossRef ] [ Google Scholar ]
• Chen H., Ho Y. S. (2015). Highly cited articles in biomass research: a bibliometric analysis . Renew. Sust. Energ. Rev. 49 , 12–20. doi: 10.1016/j.rser.2015.04.060 [ CrossRef ] [ Google Scholar ]
• Clark S. (2017). Translanguaging in higher education: beyond monolingual ideologies . Int. J. Biling. Educ. Biling. 22 , 1048–1051. doi: 10.1080/13670050.2017.1322568 [ CrossRef ] [ Google Scholar ]
• Dance A. (2012). Authorship: Who’s on first? Nature 489 , 591–593. doi: 10.1038/nj7417-591a, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Danell R. (2011). Can the quality of scientific work be predicted using information on the author’s track record? J. Am. Soc. Inf. Sci. Technol. 62 , 50–60. doi: 10.1002/asi.21454 [ CrossRef ] [ Google Scholar ]
• Darvin R., Norton B. (2015). Identity and a model of Investment in Applied Linguistics . Annu. Rev. Appl. Linguist. 35 , 36–56. doi: 10.1017/S0267190514000191 [ CrossRef ] [ Google Scholar ]
• Dewaele J.-M., MacIntyre P. D. (2016). “ Foreign language enjoyment and foreign language classroom anxiety: the right and left feet of the language learner ” in Positive psychology in SLA . eds. Peter D. M., Tammy G., Sarah M. (Bristol, Blue Ridge Summit: Multilingual Matters; ), 215–236. [ Google Scholar ]
• Gardner R. (2010). Motivation and second language acquisition: The socio-educational model . New York: Peter Lang. [ Google Scholar ]
• Gong Y., Lyu B., Gao X. (2018). Research on teaching Chinese as a second or foreign language in and outside mainland China: a bibliometric analysis . Asia Pac. Educ. Res. 27 , 277–289. doi: 10.1007/s40299-018-0385-2 [ CrossRef ] [ Google Scholar ]
• Hsu Y., Ho Y. S. (2014). Highly cited articles in health care sciences and services field in science citation index Expanded . Methods Inf. Med. 53 , 446–458. doi: 10.3414/ME14-01-0022, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Lee I. (2014). Publish or perish: the myth and reality of academic publishing . Lang. Teach. 47 , 250–261. doi: 10.1017/S0261444811000504 [ CrossRef ] [ Google Scholar ]
• Lei L., Liao S. (2017). Publications in linguistics journals from mainland China, Hong Kong, Taiwan, and Macau (2003–2012): a bibliometric analysis . J. Quant. Ling. 24 , 54–64. doi: 10.1080/09296174.2016.1260274 [ CrossRef ] [ Google Scholar ]
• Lei L., Liu D. (2018). The research trends and contributions of System’s publications over the past four decades (1973–2017): a bibliometric analysis . System 80 , 1–13. doi: 10.1016/j.system.2018.10.003 [ CrossRef ] [ Google Scholar ]
• Lei L., Liu D. (2019). Research trends in applied linguistics from 2005 to 2016: a bibliometric analysis and its implications . Appl. Linguis. 40 , 540–561. doi: 10.1093/applin/amy003 [ CrossRef ] [ Google Scholar ]
• Leivada E., Westergaard M., Duabeitia J. A., Rothman J. (2020). On the phantom-like appearance of bilingualism effects on neurocognition: (how) should we proceed? Biling. Lang. Congn. 24 , 197–210. doi: 10.1017/S1366728920000358 [ CrossRef ] [ Google Scholar ]
• Li W. (2011). Moment analysis and translanguaging space: discursive construction of identities by multilingual Chinese youth in Britain . Energy Fuel 43 , 1222–1235. doi: 10.1016/j.pragma.2010.07.035 [ CrossRef ] [ Google Scholar ]
• Li W. (2018). Translanguaging as a practical theory of language . Appl. Linguis. 39 , 9–30. doi: 10.1093/applin/amx039 [ CrossRef ] [ Google Scholar ]
• Li C. (2019). A positive psychology perspective on Chinese EFL students’ trait emotional intelligence, foreign language enjoyment and EFL learning achievement . J. Multiling. Multicult. Dev. 41 , 246–263. doi: 10.1080/01434632.2019.1614187 [ CrossRef ] [ Google Scholar ]
• Li C. (2021). A control-value theory approach to boredom in English classes among university students in China . Mod. Lang. J. 105 , 317–334. doi: 10.1111/modl.12693 [ CrossRef ] [ Google Scholar ]
• Li C., Dewaele J. M., Hu Y. (2021). Foreign language learning boredom: conceptualization and measurement . Appl. Ling. Rev. doi: 10.1515/applirev-2020-0124 [ CrossRef ] [ Google Scholar ]
• Li C., Dewaele J. M., Jiang G. (2019). The complex relationship between classroom emotions and EFL achievement in China . Appl. Ling. Rev. 11 , 485–510. doi: 10.1515/applirev-2018-0043 [ CrossRef ] [ Google Scholar ]
• Li C., Jiang G., Jean-Marc D. (2018). Understanding Chinese high school students’ foreign language enjoyment: validation of the Chinese version of the foreign language enjoyment scale . System 76 , 183–196. doi: 10.1016/j.system.2018.06.004 [ CrossRef ] [ Google Scholar ]
• Liao S., Lei L. (2017). What we talk about when we talk about corpus: a bibliometric analysis of corpus-related research in linguistics (2000-2015) . Glottometrics 38 , 1–20. [ Google Scholar ]
• Liao H., Tang M., Li Z., Lev B. (2018). Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on essential science indicators . Omega 88 , 223–236. doi: 10.1016/j.omega.2018.11.005 [ CrossRef ] [ Google Scholar ]
• Luk G., Sa E. D., Bialystok E. (2011). Is there a relation between onset age of bilingualism and enhancement of cognitive control? Biling. Lang. Cogn. 14 , 588–595. doi: 10.1017/S1366728911000010 [ CrossRef ] [ Google Scholar ]
• Macaro E., Curle S., Pun J., Dearden J. (2018). A systematic review of English medium instruction in higher education . Lang. Teach. 51 , 36–76. doi: 10.1017/S0261444817000350 [ CrossRef ] [ Google Scholar ]
• Macintyre P., Gregersen T., Mercer S. (2019). Setting an agenda for positive psychology in SLA: theory, practice, and research . Mod. Lang. J. 103 , 262–274. doi: 10.1111/modl.12544 [ CrossRef ] [ Google Scholar ]
• Mancebo F. P., Sapena A. F., Herrera M. V., González L., Toca H., Benavent R. A. (2013). Scientific literature analysis of judo in web of science . Arch. Budo 9 , 81–91. doi: 10.12659/AOB.883883 [ CrossRef ] [ Google Scholar ]
• Marui M., Bozikov J., Katavi V., Hren D., Kljakovi-Gapi M., Marui A. (2004). Authorship in a small medical journal: a study of contributorship statements by corresponding authors . Sci. Eng. Ethics 10 , 493–502. doi: 10.1007/s11948-004-0007-7, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• May S. (2014). The multilingual turn: Implications for SLA, TESOL and bilingual education . New York: Routledge. [ Google Scholar ]
• Mondada L. (2016). Challenges of multimodality: language and the body in social interaction . J. Socioling. 20 , 336–366. doi: 10.1111/josl.1_12177 [ CrossRef ] [ Google Scholar ]
• Mondada L. (2018). Multiple temporalities of language and body in interaction: challenges for transcribing multimodality . Res. Lang. Soc. Interact. 51 , 85–106. doi: 10.1080/08351813.2018.1413878 [ CrossRef ] [ Google Scholar ]
• Mondada L. (2019). Contemporary issues in conversation analysis: embodiment and materiality, multimodality and multisensoriality in social interaction . J. Pragmat. 145 , 47–62. doi: 10.1016/j.pragma.2019.01.016 [ CrossRef ] [ Google Scholar ]
• Naiman N. (1978). The good language learner . Clevedon, UK: Multilingual Matters. [ Google Scholar ]
• Newman M. (2008). The first-mover advantage in scientific publication . Eplasty 86 , 68001–68006. doi: 10.1209/0295-5075/86/68001 [ CrossRef ] [ Google Scholar ]
• Newman M. (2014). Prediction of highly cited papers . Eplasty 105 :28002. doi: 10.1209/0295-5075/105/28002 [ CrossRef ] [ Google Scholar ]
• Norton B., Toohey K. (2011). Identity, language learning, and social change . Lang. Teach. 44 , 412–446. doi: 10.1017/S0261444811000309 [ CrossRef ] [ Google Scholar ]
• Ortega L. (2019). SLA and the study of equitable multilingualism . Mod. Lang. J. 103 , 23–38. doi: 10.1111/modl.12525 [ CrossRef ] [ Google Scholar ]
• Ping Z., Thijs B., Glnzel W. (2009). Is China also becoming a giant in social sciences? Scientometrics 79 , 593–621. doi: 10.1007/s11192-007-2068-x [ CrossRef ] [ Google Scholar ]
• Pritchard A. (1969). Statistical bibliography or bibliometrics . J. Doc. 25 , 348–349. [ Google Scholar ]
• Ríos L. J. C., Tamao I. M., Olmos J. (2013). Bibliometric study (1922-2009) on rugby articles in research journals . South Afr. J. Res. Sport Phys. Educ. Rec. 17 , 313–109. doi: 10.3176/tr.2013.3.06 [ CrossRef ] [ Google Scholar ]
• Ruggeri G., Orsi L., Corsi S. (2019). A bibliometric analysis of the scientific literature on Fairtrade labelling . Int. IJC 43 , 134–152. doi: 10.1111/ijcs.12492 [ CrossRef ] [ Google Scholar ]
• Sabiote C. R., Rodríguez J. A. (2015). Bibliometric study and methodological quality indicators of the journal porta Linguarum during six year period 2008-2013 . Porta Ling. 24 , 135–150. doi: 10.30827/Digibug.53866 [ CrossRef ] [ Google Scholar ]
• Schissel J. L., De Korne H., López-Gopar M. E. (2018). Grappling with translanguaging for teaching and assessment in culturally and linguistically diverse contexts: teacher perspectives from Oaxaca, Mexico . Int. J. Biling. Educ. Biling. 24 , 340–356. doi: 10.1080/13670050.2018.1463965 [ CrossRef ] [ Google Scholar ]
• Shen Q., Gao X. (2018). Multilingualism and policy making in greater China: ideological and implementational spaces . Lang. Policy 18 , 1–16. doi: 10.1007/s10993-018-9473-7 [ CrossRef ] [ Google Scholar ]
• Small H. (2004). Why authors think their papers are highly cited . Scientometrics 60 , 305–316. doi: 10.1023/B:SCIE.0000034376.55800.18 [ CrossRef ] [ Google Scholar ]
• Smith D. R. (2007). The New Zealand timber economy, 1840–1935 . N. Z. Med. J. 120 , U2871–U2313. doi: 10.1016/0305-7488(90)90044-C, PMID: [ PubMed ] [ CrossRef ] [ Google Scholar ]
• van Doorslaer L., Gambier Y. (2015). Measuring relationships in translation studies. On affiliations and keyword frequencies in the translation studies bibliography . Perspectives 23 , 305–319. doi: 10.1080/0907676X.2015.1026360 [ CrossRef ] [ Google Scholar ]
• van Oorschot J. A. W. H., Hofman E., Halman J. (2018). A bibliometric review of the innovation adoption literature . Technol. Forecast. Soc. Chang. 134 , 1–21. doi: 10.1016/j.techfore.2018.04.032 [ CrossRef ] [ Google Scholar ]
• Xie Z., Willett P. (2013). The development of computer science research in the People’s republic of China 2000–2009: a bibliometric study . Inf. Dev. 29 , 251–264. doi: 10.1177/0266666912458515 [ CrossRef ] [ Google Scholar ]
• Yan S., Zhang H., Wang J. (2022). Trends and hot topics in radiology, nuclear medicine and medical imaging from 2011–2021: a bibliometric analysis of highly cited papers . Jpn. J. Radiol. 40 , 847–856. doi: 10.1007/s11604-022-01268-z, PMID: [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Zhu H., Lei L. (2021). A dependency-based machine learning approach to the identification of research topics: a case in COVID-19 studies . Lib. Hi Tech 40 , 495–515. doi: 10.1108/LHT-01-2021-0051 [ CrossRef ] [ Google Scholar ]
• Zhu H., Lei L. (2022). The research trends of text classification studies (2000–2020): a bibliometric analysis . SAGE Open 12 , 215824402210899–215824402210816. doi: 10.1177%2F21582440221089963 [ Google Scholar ]

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Psychology of Language

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Dinesh Ramoo, Thompson Rivers University

Marie Bartlett, Thompson Rivers University

Copyright Year: 2021

Last Update: 2024

Publisher: BCcampus

Language: English

Formats Available

Conditions of use.

Table of Contents

• Accessibility Statement
• For Students: How to Access and Use this Textbook
• About BCcampus Open Education
• Contributors
• Chapter 1: Speaking in Tongues
• Chapter 2: The Sounds of Language
• Chapter 3: The Parts of Speech
• Chapter 4: The Biological Basis of Language
• Chapter 5: Learning to Speak
• Chapter 6: Bilingualism
• Chapter 7: Visual Language
• Chapter 8: Reading
• Chapter 9: Speaking
• Versioning History

Ancillary Material

About the book, about the contributors.

Dinesh Ramoo is a lecturer at Thompson Rivers University in Kamloops, Canada. After receiving his PhD in Psychology from the University of Birmingham in 2014, he has worked in the United Kingdom, Sri Lanka, and Turkey before moving to Canada in 2019. He has also served as a consultant linguist for Google Inc. and Oxford University Press. His research interests include word-form encoding in English as well as Indian languages such as Hindi and Tamil. He employs experimental data from neurological patients with acquired language disorders as well as computational models to study language production.

Marie Bartlett is an Instructional Designer at Thompson Rivers University—Open Learning. Marie is dedicated to creating educational experiences that inspire and engage learners. She looks for opportunities to highlight active learning and creativity in her course design, and uses innovative pedagogical approaches to best utilize online environments for learning and teaching.

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The littlest linguists: new research on language development.

• Bilingualism
• Developmental Psychology
• Language Development

How do children learn language, and how is language related to other cognitive and social skills? For decades, the specialized field of developmental psycholinguistics has studied how children acquire language—or multiple languages—taking into account biological, neurological, and social factors that influence linguistic developments and, in turn, can play a role in how children learn and socialize. Here’s a look at recent research (2020–2021) on language development published in Psychological Science . 

Preverbal Infants Discover Statistical Word Patterns at Similar Rates as Adults: Evidence From Neural Entrainment

Dawoon Choi, Laura J. Batterink, Alexis K. Black, Ken A. Paller, and Janet F. Werker (2020)

One of the first challenges faced by infants during language acquisition is identifying word boundaries in continuous speech. This neurological research suggests that even preverbal infants can learn statistical patterns in language, indicating that they may have the ability to segment words within continuous speech.

Using electroencephalogram measures to track infants’ ability to segment words, Choi and colleagues found that 6-month-olds’ neural processing increasingly synchronized with the newly learned words embedded in speech over the learning period in one session in the laboratory. Specifically, patterns of electrical activity in their brains increasingly aligned with sensory regularities associated with word boundaries. This synchronization was comparable to that seen among adults and predicted future ability to discriminate words.

These findings indicate that infants and adults may follow similar learning trajectories when tracking probabilities in speech, with both groups showing a logarithmic (rather than linear) increase in the synchronization of neural processing with frequent words. Moreover, speech segmentation appears to use neural mechanisms that emerge early in life and are maintained throughout adulthood.

Parents Fine-Tune Their Speech to Children’s Vocabulary Knowledge

Ashley Leung, Alexandra Tunkel, and Daniel Yurovsky (2021)

Children can acquire language rapidly, possibly because their caregivers use language in ways that support such development. Specifically, caregivers’ language is often fine-tuned to children’s current linguistic knowledge and vocabulary, providing an optimal level of complexity to support language learning. In their new research, Leung and colleagues add to the body of knowledge involving how caregivers foster children’s language acquisition.

The researchers asked individual parents to play a game with their child (age 2–2.5 years) in which they guided their child to select a target animal from a set. Without prompting, the parents provided more informative references for animals they thought their children did not know. For example, if a parent thought their child did not know the word “leopard,” they might use adjectives (“the spotted, yellow leopard”) or comparisons (“the one like a cat”). This indicates that parents adjust their references to account for their children’s language knowledge and vocabulary—not in a simplifying way but in a way that could increase the children’s vocabulary. Parents also appeared to learn about their children’s knowledge throughout the game and to adjust their references accordingly.

Infant and Adult Brains Are Coupled to the Dynamics of Natural Communication

Elise A. Piazza, Liat Hasenfratz, Uri Hasson, and Casey Lew-Williams (2020)

This research tracked real-time brain activation during infant–adult interactions, providing an innovative measure of social interaction at an early age. When communicating with infants, adults appear to be sensitive to subtle cues that can modify their brain responses and behaviors to improve alignment with, and maximize information transfer to, the infants.

Piazza and colleagues used functional near-infrared spectroscopy—a noninvasive measure of blood oxygenation resulting from neural activity that is minimally affected by movements and thus allows participants to freely interact and move—to measure the brain activation of infants (9–15 months old) and adults while they communicated and played with each other. An adult experimenter either engaged directly with an infant by playing with toys, singing nursery rhymes, and reading a story or performed those same tasks while turned away from the child and toward another adult in the room.

Results indicated that when the adult interacted with the child (but not with the other adult), the activations of many prefrontal cortex (PFC) channels and some parietal channels were intercorrelated, indicating neural coupling of the adult’s and child’s brains. Both infant and adult PFC activation preceded moments of mutual gaze and increased before the infant smiled, with the infant’s PFC response preceding the adult’s. Infant PFC activity also preceded an increase in the pitch variability of the adult’s speech, although no changes occurred in the adult’s PFC, indicating that the adult’s speech influenced the infant but probably did not influence neural coupling between the child and the adult.

Theory-of-Mind Development in Young Deaf Children With Early Hearing Provisions

Chi-Lin Yu, Christopher M. Stanzione, Henry M. Wellman, and Amy R. Lederberg (2020)

Language and communication are important for social and cognitive development. Although deaf and hard-of-hearing (DHH) children born to deaf parents can communicate with their caregivers using sign language, most DHH children are born to hearing parents who do not have experience with sign language. These children may have difficulty with early communication and experience developmental delays. For instance, the development of theory of mind—the understanding of others’ mental states—is usually delayed in DHH children born to hearing parents.

Yu and colleagues studied how providing DHH children with hearing devices early in life (before 2 years of age) might enrich their early communication experiences and benefit their language development, supporting the typical development of other capabilities—in particular, theory of mind. The researchers show that 3- to 6-year-old DHH children who began using cochlear implants or hearing aids earlier had more advanced language abilities, leading to better theory-of-mind growth, than children who started using hearing provisions later. These findings highlight the relationships among hearing, language, and theory of mind.

The Bilingual Advantage in Children’s Executive Functioning Is Not Related to Language Status: A Meta-Analytic Review

Cassandra J. Lowe, Isu Cho, Samantha F. Goldsmith, and J. Bruce Morton (2021)

Acommon idea is that bilingual children, who grow up speaking two languages fluently, perform better than monolingual children in diverse executive-functioning domains (e.g., attention, working memory, decision making). This meta-analysis calls that idea into question.

Lowe and colleagues synthesized data from studies that compared the performance of monolingual and bilingual participants between the ages of 3 and 17 years in executive-functioning domains (1,194 effect sizes). They found only a small effect of bilingualism on participants’ executive functioning, which was largely explained by factors such as publication bias. After accounting for these factors, bilingualism had no distinguishable effect. The results of this large meta-analysis thus suggest that bilingual and monolingual children tend to perform at the same level in executive-functioning tasks. Bilingualism does not appear to boost performance in executive functions that serve learning, thinking, reasoning, or problem solving.

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Teaching: Ethical Research to Help Romania’s Abandoned Children 

An early intervention experiment in Bucharest can introduce students to the importance of responsive caregiving during human development.

Silver Linings in the Demographic Revolution 

Podcast: In her final column as APS President, Alison Gopnik makes the case for more effectively and creatively caring for vulnerable humans at either end of life.

Communicating Psychological Science: The Lifelong Consequences of Early Language Skills

“When families are informed about the importance of conversational interaction and are provided training, they become active communicators and directly contribute to reducing the word gap (Leung et al., 2020).”

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50+ Research Topics for Psychology Papers

How to Find Psychology Research Topics for Your Student Paper

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Steven Gans, MD is board-certified in psychiatry and is an active supervisor, teacher, and mentor at Massachusetts General Hospital.

• Specific Branches of Psychology
• Topics Involving a Disorder or Type of Therapy
• Human Cognition
• Human Development
• Critique of Publications
• Famous Experiments
• Historical Figures
• Specific Careers
• Case Studies
• Literature Reviews
• Your Own Study/Experiment

Are you searching for a great topic for your psychology paper ? Sometimes it seems like coming up with topics of psychology research is more challenging than the actual research and writing. Fortunately, there are plenty of great places to find inspiration and the following list contains just a few ideas to help get you started.

Finding a solid topic is one of the most important steps when writing any type of paper. It can be particularly important when you are writing a psychology research paper or essay. Psychology is such a broad topic, so you want to find a topic that allows you to adequately cover the subject without becoming overwhelmed with information.

I can always tell when a student really cares about the topic they chose; it comes through in the writing. My advice is to choose a topic that genuinely interests you, so you’ll be more motivated to do thorough research.

In some cases, such as in a general psychology class, you might have the option to select any topic from within psychology's broad reach. Other instances, such as in an  abnormal psychology  course, might require you to write your paper on a specific subject such as a psychological disorder.

As you begin your search for a topic for your psychology paper, it is first important to consider the guidelines established by your instructor.

Research Topics Within Specific Branches of Psychology

The key to selecting a good topic for your psychology paper is to select something that is narrow enough to allow you to really focus on the subject, but not so narrow that it is difficult to find sources or information to write about.

One approach is to narrow your focus down to a subject within a specific branch of psychology. For example, you might start by deciding that you want to write a paper on some sort of social psychology topic. Next, you might narrow your focus down to how persuasion can be used to influence behavior .

Other social psychology topics you might consider include:

• Prejudice and discrimination (i.e., homophobia, sexism, racism)
• Social cognition
• Person perception
• Social control and cults
• Persuasion, propaganda, and marketing
• Attraction, romance, and love
• Nonverbal communication
• Prosocial behavior

Psychology Research Topics Involving a Disorder or Type of Therapy

Exploring a psychological disorder or a specific treatment modality can also be a good topic for a psychology paper. Some potential abnormal psychology topics include specific psychological disorders or particular treatment modalities, including:

• Eating disorders
• Borderline personality disorder
• Seasonal affective disorder
• Schizophrenia
• Antisocial personality disorder
• Profile a  type of therapy  (i.e., cognitive-behavioral therapy, group therapy, psychoanalytic therapy)

Topics of Psychology Research Related to Human Cognition

Some of the possible topics you might explore in this area include thinking, language, intelligence, and decision-making. Other ideas might include:

• False memories
• Speech disorders
• Problem-solving

Topics of Psychology Research Related to Human Development

In this area, you might opt to focus on issues pertinent to  early childhood  such as language development, social learning, or childhood attachment or you might instead opt to concentrate on issues that affect older adults such as dementia or Alzheimer's disease.

Some other topics you might consider include:

• Language acquisition
• Media violence and children
• Learning disabilities
• Gender roles
• Child abuse
• Prenatal development
• Parenting styles
• Aspects of the aging process

Do a Critique of Publications Involving Psychology Research Topics

One option is to consider writing a critique paper of a published psychology book or academic journal article. For example, you might write a critical analysis of Sigmund Freud's Interpretation of Dreams or you might evaluate a more recent book such as Philip Zimbardo's  The Lucifer Effect: Understanding How Good People Turn Evil .

Professional and academic journals are also great places to find materials for a critique paper. Browse through the collection at your university library to find titles devoted to the subject that you are most interested in, then look through recent articles until you find one that grabs your attention.

Topics of Psychology Research Related to Famous Experiments

There have been many fascinating and groundbreaking experiments throughout the history of psychology, providing ample material for students looking for an interesting term paper topic. In your paper, you might choose to summarize the experiment, analyze the ethics of the research, or evaluate the implications of the study. Possible experiments that you might consider include:

• The Milgram Obedience Experiment
• The Stanford Prison Experiment
• The Little Albert Experiment
• Pavlov's Conditioning Experiments
• The Asch Conformity Experiment
• Harlow's Rhesus Monkey Experiments

Topics of Psychology Research About Historical Figures

One of the simplest ways to find a great topic is to choose an interesting person in the  history of psychology  and write a paper about them. Your paper might focus on many different elements of the individual's life, such as their biography, professional history, theories, or influence on psychology.

While this type of paper may be historical in nature, there is no need for this assignment to be dry or boring. Psychology is full of fascinating figures rife with intriguing stories and anecdotes. Consider such famous individuals as Sigmund Freud, B.F. Skinner, Harry Harlow, or one of the many other  eminent psychologists .

Psychology Research Topics About a Specific Career

​Another possible topic, depending on the course in which you are enrolled, is to write about specific career paths within the  field of psychology . This type of paper is especially appropriate if you are exploring different subtopics or considering which area interests you the most.

In your paper, you might opt to explore the typical duties of a psychologist, how much people working in these fields typically earn, and the different employment options that are available.

Topics of Psychology Research Involving Case Studies

One potentially interesting idea is to write a  psychology case study  of a particular individual or group of people. In this type of paper, you will provide an in-depth analysis of your subject, including a thorough biography.

Generally, you will also assess the person, often using a major psychological theory such as  Piaget's stages of cognitive development  or  Erikson's eight-stage theory of human development . It is also important to note that your paper doesn't necessarily have to be about someone you know personally.

In fact, many professors encourage students to write case studies on historical figures or fictional characters from books, television programs, or films.

Psychology Research Topics Involving Literature Reviews

Another possibility that would work well for a number of psychology courses is to do a literature review of a specific topic within psychology. A literature review involves finding a variety of sources on a particular subject, then summarizing and reporting on what these sources have to say about the topic.

Literature reviews are generally found in the  introduction  of journal articles and other  psychology papers , but this type of analysis also works well for a full-scale psychology term paper.

Topics of Psychology Research Based on Your Own Study or Experiment

Many psychology courses require students to design an actual psychological study or perform some type of experiment. In some cases, students simply devise the study and then imagine the possible results that might occur. In other situations, you may actually have the opportunity to collect data, analyze your findings, and write up your results.

Finding a topic for your study can be difficult, but there are plenty of great ways to come up with intriguing ideas. Start by considering your own interests as well as subjects you have studied in the past.

Online sources, newspaper articles, books , journal articles, and even your own class textbook are all great places to start searching for topics for your experiments and psychology term papers. Before you begin, learn more about  how to conduct a psychology experiment .

What This Means For You

After looking at this brief list of possible topics for psychology papers, it is easy to see that psychology is a very broad and diverse subject. While this variety makes it possible to find a topic that really catches your interest, it can sometimes make it very difficult for some students to select a good topic.

If you are still stumped by your assignment, ask your instructor for suggestions and consider a few from this list for inspiration.

• Hockenbury, SE & Nolan, SA. Psychology. New York: Worth Publishers; 2014.
• Santrock, JW. A Topical Approach to Lifespan Development. New York: McGraw-Hill Education; 2016.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

UCL Psychology and Language Sciences

• PALS Alumni

Experimental Psychology Seminar - John Greenwood, UCL

23 April 2024–24 April 2024, 12:30 pm–3:00 pm

John Greenwood will present research demonstrating how crowding—where clutter merges visual elements—affects both peripheral and foveal vision. His studies illustrate similar error patterns in the typical vision and in conditions like amblyopia, suggesting that these effects are governed by 'pooling' models. These models propose that crowding simplifies visual scenes into a general 'gist', reducing the demand on neural resources. This research extends to how crowding independently affects color and motion judgments, offering insights into the visual system's multifaceted response to clutter.

Event Information

Venue: Room 313, 26 Bedford Way.

A buffet lunch will be available just before the talk at 12.30pm in room 313BW.

You may also attend virtually via zoom:  https://ucl.zoom.us/j/91768876812?pwd=aExJVmFTZnBZZCtFbmlGS0tSY2VCdz09 Meeting ID: 917 6887 6812 Passcode: 950231 Title: Using typical vision to understand clinical disorders of vision

Abstract: Our ability to recognise objects in the world is impaired in cluttered environments, even for objects that are clearly visible in isolation. This process, known as crowding , presents the fundamental limit on our peripheral vision. These disruptive effects are elevated in foveal vision (the centre of our gaze) during development, and further elevated in clinical disorders including amblyopia (‘lazy eye’) and nystagmus (uncontrolled eye movements), placing a limit on everyday tasks like reading.

Can we understand the mechanisms underlying these elevations using crowding in the typical periphery? I will first show that crowding produces the same kinds of errors in peripheral vision as in the foveal vision of typical and amblyopic children. These errors are well described in all cases by ‘pooling’ models that depict crowding as an unwanted combination of cluttered elements. In peripheral vision, crowding can also independently disrupt judgements of colour and motion for the same target object, suggesting the existence of multiple instances of crowding throughout the visual system. Dissociations between the crowding of colour and motion are similarly evident in amblyopic vision. Together, our findings depict crowding as a process that simplifies the visual scene to provide a ‘gist’ that can be efficiently encoded with reduced neural resources.

About the Speaker

John greenwood.

Associate Professor in Experimental Psychology at Experimental Psychology, UCL

I am Associate Professor in Experimental Psychology at University College London, working on visual perception. My lab examines spatial vision and 'crowding' in both typical peripheral vision and in clinical disorders such as amblyopia and nystagmus, as well as face recognition, visual imagery and hallucinations, and the perception of visual dimensions including motion, depth, and position. I joined the department in 2013 with a Career Development Award from the Medical Research Council, having previously undertaken postdoctoral research at the Institute of Ophthalmology at University College London (London, UK) with Prof. Steven Dakin and Dr. Peter Bex from 2008-2010, and at the Laboratoire Psychologie de la Perception of the Université Paris Descartes (Paris, France) with Patrick Cavanagh from 2011-2013. My Ph.D. was completed in 2007 at the School of Psychology of the Australian National University (Canberra, Australia), with Dr. Mark Edwards.

Metacognitive abilities like reading the emotions and attitudes of others may be more influenced by environment than genetics

Twin studies have proven invaluable for teasing out the effects of both genetics and the environment on human biology. In a study published April 2 in Cell Reports , researchers studied pairs of twins to look at how the interplay of genetics and environment affect cognitive processing -- the way that people think. They found that some cognitive abilities appear to be regulated more by environmental factors than by genetics.

"Past research has suggested that general intelligence -- often referred to as intelligence quotient or IQ -- has a heritability ranging from 50% to 80%," says senior and corresponding author Xiaohong Wan of Beijing Normal University in China. "Our study may be the first to demonstrate that a different kind of cognitive ability, known as metacognition and mentalizing, might be much more influenced by environment."

Cognitive functions such as perception, attention, memory, language, and planning are considered to be the basis for general intelligence. These functions regulate the way that people organize and process new information. By contrast, metacognition looks at how well people understand and control their cognitive processes.

Metacognition is important for developing learning strategies and is believed to be a predictor of an individual's successes in school and social achievements. Mentalizing describes the process of recognizing and understanding mental states like emotions and attitudes, both in ourselves and in other people.

For this research, the investigators recruited 57 pairs of adult monozygotic (identical) twins and 48 pairs of dizygotic (fraternal) twins from the Beijing Twin Study (BeTwiSt). This is an ongoing, long-term study established in 2006 that includes extensive data like brain images and psychological surveys, as well as genetic information, on pairs of twins.

The twins were asked to perform tasks related to metacognition. These tasks consisted of watching a cluster of moving dots on a screen and making a perceptual judgement on the net direction of the dots. They were also asked to rate their confidence about their decisions. To measure mentalizing, the participants were asked to evaluate a partner's confidence in their decision-making abilities.

The investigators found that pairs of twins who had parents with higher levels of education and higher family incomes have similar results to each other, regardless of whether they were identical or fraternal. These observations suggested that familial environment was more likely to influence metacognitive abilities than genetics.

"Our findings were outside our expectations," Wan says. "Decades of extensive research utilizing the classical twin paradigm have consistently demonstrated the heritability of nearly all cognitive abilities so far investigated. Our findings emphasize that these shared family environmental factors, such as parental nurturing and the transmission of cultural values, likely play a significant role in shaping the mental state representations in metacognition and mentalizing."

The researchers acknowledge that there are limitations to this research and that many more studies are needed. They plan to continue their research in this area, including using population studies to further investigate what kind of specific parental nurturing factors and sociocultural values affect individuals' metacognitive and mentalizing abilities.

This research was supported by the Ministry of Science and Technology of the People's Republic of China, the National Natural Science Foundation of China, the Interdisciplinary Innovation Team of the Chinese Academy of Sciences, and the BeTwiSt of Institute of Psychology, Chinese Academy of Sciences.

• Intelligence
• Neuroscience
• Social Psychology
• Cognitive neuroscience
• Psycholinguistics
• Homosexuality
• List of cognitive biases
• Cognitive bias
• Cognitive psychology
• Theory of cognitive development

Story Source:

Materials provided by Cell Press . Note: Content may be edited for style and length.

Journal Reference :

• Shaohan Jiang, Fanru Sun, Peijun Yuan, Yi Jiang, Xiaohong Wan. Distinct genetic and environmental origins of hierarchical cognitive abilities in adult humans . Cell Reports , 2024; 43 (4): 114060 DOI: 10.1016/j.celrep.2024.114060

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Key findings about Americans and data privacy

Many Americans have endless digital tools at their fingertips. And each device, site or app collects, analyzes and uses personal data. What does this mean for Americans now that so much of their day-to-day life leaves a digital footprint?

Pew Research Center has a long record of studying Americans’ views of privacy and their personal data, as well as their online habits. This study sought to understand how people think about each of these things – and what, if anything, they do to manage their privacy online. ( Read the full report .)

This survey was conducted among 5,101 U.S. adults from May 15 to 21, 2023. Everyone who took part in the survey is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. This way nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race and ethnicity, partisan affiliation, education and other categories. Read more about the  ATP’s methodology .

Here are the questions used for this analysis , along with responses, and its methodology .

Here are nine takeaways from a new Pew Research Center report exploring these issues.

Americans, especially Republicans, are growing more concerned about how the government uses the data it collects about them. About seven-in-ten U.S. adults (71%) say they are very or somewhat concerned about this, up from 64% in 2019. Concern has grown among Republicans and those who lean Republican but has held steady among Democrats and Democratic leaners.

Many Americans have little trust in companies to use AI responsibly. Among those who have heard of artificial intelligence (AI):

• 70% say they have little to no trust in companies to make responsible decisions about how they use AI in their products.
•   81% say the information companies collect will be used in ways that people are not comfortable with
• 80% say it will be used in ways that were not originally intended.

Still, 62% of those who have heard of AI say companies using it to analyze personal details could make life easier.

Many trust themselves to make the right decisions but are skeptical their actions matter. About eight-in-ten (78%) say they trust themselves to make the right decisions to protect their personal information.

But a majority (61%) are skeptical anything they do will make much difference. And only about one-in-five are confident that those with access to their personal information will treat it responsibly.

More than half of Americans (56%) say they always, almost always or often click “agree” without reading privacy policies. Another 22% say they do this sometimes and 18% rarely or never do this.

People are also largely skeptical that privacy policies do what they’re intended to do. About six-in-ten Americans (61%) think they’re ineffective at explaining how companies use people’s data.

About seven-in-ten Americans are overwhelmed by the number of passwords they have to remember. And nearly half (45%) report feeling anxious about whether their passwords are strong and secure.

Despite these concerns, only half of adults say they typically choose passwords that are more secure, even if they are harder to remember. A slightly smaller share (46%) opts for passwords that are easier to remember, even if they are less secure.

Some Americans have been targets of data breaches and hacking. In the past 12 months:

• Roughly a quarter of Americans (26%) say someone put fraudulent charges on their debit or credit card.
• A smaller share say they have had someone take over their email or social media account without their permission (11%).
• And 7% have had someone attempt to open a line of credit or apply for a loan using their name.

In total, 34% of Americans have experienced at least one of these issues in the past year. However, Black Americans are more likely than members of other racial and ethnic groups to have faced this.

Americans have little faith that social media executives will protect user privacy. Some 77% of Americans have little or no trust in leaders of social media companies to publicly admit mistakes and take responsibility for data misuse.

They are no more optimistic about the government reining them in: 71% have little to no trust that tech leaders will be held accountable for their missteps.

There is bipartisan support for more regulation to protect personal information. Some 78% of Democrats and 68% of Republicans think there should be more government regulation of what companies can do with customers’ personal information.

These findings are largely similar to our 2019 survey , which also showed strong support for increased regulation across parties.

About nine-in-ten Americans (89%) are concerned about social media sites knowing personal information about children. Most Americans are also concerned about advertisers using data about children’s online activities to target ads to them (85%) and online games tracking children on the internet (84%).

When it comes to who should be responsible for protecting kids’ online privacy, a vast majority (85%) says parents should bear a great deal of the responsibility. Still, roughly six-in-ten say the same about technology companies, and just under half believe the government should have a great deal of responsibility.

Note: Here are the questions used for this analysis , along with responses, and its methodology .

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