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Journal of Social Sciences

Aims and scope.

The Journal of Social Sciences (JSS) is an esteemed international, peer-reviewed publication that focuses on a wide range of scientific disciplines and academic research areas dedicated to the study of social groups and human society. Our mission is to provide a platform for scholars, researchers, and practitioners to share innovative and impactful research findings, theoretical contributions, and practical insights that can inform and shape public policy, social welfare, and human development.

It is with great pleasure that we announce the SGAMR Annual Awards 2020. This award is given annually to Researchers and Reviewers of International Journal of Structural Glass and Advanced Materials Research (SGAMR) who have shown innovative contributions and promising research as well as others who have excelled in their Editorial duties.

This special issue "Neuroinflammation and COVID-19" aims to provide a space for debate in the face of the growing evidence on the affectation of the nervous system by COVID-19, supported by original studies and case series.

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• Arts and Humanities (miscellaneous)
• Economics, Econometrics and Finance (miscellaneous)
• Social Sciences (miscellaneous)

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24119458, 24136670

The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

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Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

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The Journal of Research in Social Sciences (JRSS) is a double-blind, peer reviewed, and open access journal devoted to research in the social sciences. It is published bi-annually by the Faculty of Social Sciences, National University of Modern Languages, Islamabad. JRSS aims to promote the culture of quality research in the field of social sciences.

The journal encourages scholarly research in the social science fields of sociology, history, political science, international relations, psychology, anthropology, and other related domains. Its goal is to explore and present novel research-based concepts and practices at the national and international levels. The journal gives social scientists—researchers, educators, and academic professionals—a forum to discuss their creative theoretical and applied research projects in the field around the world. New ideas from both domestic and international scholars are welcome here.  Social science domains accept contributions that break new ground in the prescribed realms of knowledge, start interdisciplinary debates, draw on the newest concepts in education and creative thinking, and develop knowledge through study and reasoning. The journal is constantly striving to achieve excellence by promoting quality research. The Higher Education Commission of Pakistan promoted the journal to ‘CATEGORY, Y’ in 2016 in honor of its efforts and research contribution.

Current Issue

Vol. 12 No. 1 (2024): Journal of Research in Social Sciences

Published: 2024-01-14

Changing Geopolitical Realities in Europe: The Case of Russia-Ukraine Conflict

Pakistan in the crosshairs and the rising stakes of strategic information warfare, the rise of militant non-state actors in the middle east: consequences for the statehood, whatsapp communication in tanzanian organizations, developing a research design based on the distinction of history from the social sciences, iran-saudi arabia diplomatic relations and china's role in regional politics, assessing the vulnerabilities of bioterrorism: challenges and prospects.

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• Published: 15 March 2024

Realizing the full potential of behavioural science for climate change mitigation

• Kristian S. Nielsen   ORCID: orcid.org/0000-0002-8395-4007 1 ,
• Viktoria Cologna   ORCID: orcid.org/0000-0003-3706-8669 2 ,
• Jan M. Bauer   ORCID: orcid.org/0000-0002-6331-4061 1 ,
• Sebastian Berger   ORCID: orcid.org/0000-0003-2392-1024 3 ,
• Cameron Brick   ORCID: orcid.org/0000-0002-7174-8193 4 , 5 ,
• Thomas Dietz 6 , 7 ,
• Ulf J. J. Hahnel   ORCID: orcid.org/0000-0002-0595-5899 8 , 9 ,
• Laura Henn   ORCID: orcid.org/0000-0003-4036-1487 10 ,
• Florian Lange   ORCID: orcid.org/0000-0002-8336-5608 11 ,
• Paul C. Stern   ORCID: orcid.org/0000-0002-9481-3904 12 &
• Kimberly S. Wolske   ORCID: orcid.org/0000-0003-2295-115X 13  

Nature Climate Change ( 2024 ) Cite this article

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• Climate-change mitigation
• Energy and behaviour

Behavioural science has yielded insights about the actions of individuals, particularly as consumers, that affect climate change. Behaviours in other spheres of life remain understudied. In this Perspective, we propose a collaborative research agenda that integrates behavioural science insights across multiple disciplines. To this end, we offer six recommendations for optimizing the quality and impact of research on individual climate behaviour. The recommendations are united by a shift towards more solutions-focused research that is directly useful to citizens, policymakers and other change agents. Achieving this vision will require overcoming challenges such as the limited funding for behavioural and social sciences and structural barriers within and beyond the academic system that impede collaborations across disciplines.

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Acknowledgements

K.S.N. gratefully acknowledges financial support from the Carlsberg Foundation, grant number CF22-1056. V.C. acknowledges support from the Swiss National Science Foundation Postdoc Mobility Fellowship (P500PS_202935). S.B. acknowledges support from the Swiss Federal Office of Energy (SI/502093-01). T.D. was supported in part by Michigan AgBio Research. F.L. was supported by an FWO postdoctoral fellowship (12U1221N).

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A content analysis of social media discourse during Hurricane María: filling a void when traditional media are silent

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As social media is increasingly used by communities to understand and cope with environmental hazards, understanding how people use social media before, during, and after disasters can support disaster response and recovery efforts. This paper presents an empirical application of Houston et al.’s (Disasters 39:1–22, 2015) functional framework for disaster social media, using the case of Twitter use during and after Hurricane María. Our research aims to (1) identify the predominant patterns of Twitter usage and content dissemination during the Hurricane María crisis and (2) validate and refine the functional framework for disaster social media with a case study of the hurricane that hit Puerto Rico in 2017. We find that people in the US used Twitter mainly to access news of the hurricane, express emotions (both negative and positive), and to understand socio-political events shaping the response and recovery. Most tweets came from individuals rather than organizations, and most were sent as the hurricane was designated as category four and approached Puerto Rico, with far fewer posts after landfall. These findings highlight the importance of individuals sharing and accessing vital information when official outlets are absent or limited and the relatively short-lived attention to slow recovery processes.

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Acknowledgements

Special thanks to Professor Chen Li and his team at the University of California, Irvine, in the Department of Computer Science for providing the data used in this research.

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Pérez-Figueroa, O., Ulibarrí, N. & Hopfer, S. A content analysis of social media discourse during Hurricane María: filling a void when traditional media are silent. J Environ Stud Sci (2024). https://doi.org/10.1007/s13412-024-00909-1

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© Bachudo Science Co. Ltd. This work is licensed under the creative commons Attribution 4.0 International license.

Ndakara Ofudjaye Emmanuel

Department of Geography and Regional Planning, Delta State                                                                 University, Nigeria

Eyefia Oghenerukevwe Alexander

Department of Geography and Regional Planning, Delta State                                                                  University, Nigeria

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Variability of rainfall and temperature distributions in delta state, nigeria.

The knowledge of variability in climatic attributes is necessary for the evaluation of their distributions within regions. This research investigated the distributions and how rainfall and temperature (R&T) varied across the Delta State region of Nigeria. The research design employed is the ex post facto. The study employed yearly and monthly (R&T) data gotten from the Climate Research Unit (CRU) through Google earth, and Time-Series (TS) monthly climate variation data from January, 1901 to December, 2019. Statistical analysis involved the mean, climographs, Analysis of variance (ANOVA), Fisher Test, Post Hoc test, and Minitab 18 macro tool. The study observed increase of 0.4 o C in temperature and 320.3mm in rainfall. Significant variations in both monthly and annual (R&T) were observed. On the trends results, increasing trend in temperature within the 8 stations were observed, while no increasing trend in rainfall within the 8 stations were observed. Decreasing trend in seasonal temperature from January to June, and August to December was observed. Furthermore, decreasing rainfall trend was observed in February, May, June, July and November, with August and September having increasing trends while the January, March, April and December having no trends.

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