Preview

Humanities and Social Sciences. Bulletin of the Financial University

Advanced search

Social Tensions and the Possibility of Assessing their Impact Through the Analysis of Social Media

https://doi.org/10.26794/2226-7867-2023-13-3-32-38

Abstract

This article discusses the issue of the possibility of analysing and monitoring the phenomenon of social tensions in modern society through the analysis of digital footprints of social media users. Within the framework of the article, key aspects of social tension are studied, modern achievements and current advances in the use of social media for research purposes are considered. An assessment was made of the possibilities of using social media to analyse social tensions, taking into account the current socio-economic conditions. In addition, this paper analyses the approach to assessing the change in the level of social tension in the event of a crisis.

About the Author

D. A. Kotov
Vox populi analytical agency, Russia; Finance University
Russian Federation

Dmitry A. Kotov — General Manager, Vox populi analytical agency, Moscow, Russia; Senior Lecturer, Department of Sociology

Moscow



References

1. Merton R.K. Social theory and social structure. Simon and Schuster; 1968.

2. Häusermann S. Socioeconomic inequality and the rise of populism: A political-economic approach. Swiss Political Science Review. 2018;(24):351–374.

3. Acemoglu D., Robinson J.A. Why nations fail: The origins of power, prosperity, and poverty. London: Profile books; 2012.

4. Stoker G.Why politics matters. London: Springer; 2019.

5. Cullen F.T., Wright J.P., Blevins K.R. Taking stock: The validity of self-report data in offender research. Washington, DC: National Institute of Justice; 2006.

6. Snyder D.K., Kelly J.R.Psychological costs of participation in a political campaign. Journal of Applied Social Psychology. 1976;(6):270–281.

7. Klandermans B.Identity politics and politicized identities: Identity processes and the dynamics of protest. Political Psychology. 2014;(35):1–22.

8. Brewer M.B., Kramer R.M. The psychology of intergroup attitudes and behavior. Annual review of psychology. 1985;(36):219–243.

9. Gurr T.R.Why men rebel. New York: Routledge; 2011.

10. Klandermans B.The Social Psychology of Protest. Blackwell Publishers Ltd; 1997.

11. Runciman W.G.Relative deprivation and social justice: A study of attitudes to social inequality in twentieth-century England. Berkeley: University of California Press; 1966.

12. Tufekci Z. Twitter and Tear Gas: The Power and Fragility of Networked Protest. New Haven: Yale University Press; 2013.

13. Alesina A., Glaeser E.L. Fighting poverty in the US and Europe: A world of difference. Oxford: Oxford University Press; 2004.

14. World Bank. Poverty and shared prosperity 2020: Reversals of fortune. Washington, D.C: World Bank Group; 2020.

15. Jungherr A., Jurgens P., Schoen H. Why the pirate party won the German election of 2009 or the trouble with predictions: A response to Tumasjan A., Sprenger T.O., Sandner P.G., Welpe I.M. Predicting elections with Twitter: What 140 characters reveal about political sentiment. Social Science Computer Review. 2012;(30):229–234.

16. Heaney M.T., Rojas H. Ethnicity, race, and nationalism in global perspective. New York: Polity Press; 2011.

17. Wilson G.K.The politics of truth and reconciliation in South Africa: legitimizing the post-apartheid state. New York: Routledge; 2016.

18. Krastev I.After Europe. Philadelphia: University of Pennsylvania Press; 2017.

19. Galtung J.Cultural violence. Journal of Peace Research. 1990;(27):291–305.

20. Inglehart R., Norris P. Rising tide: Gender equality and cultural change around the world. Cambridge, England: Cambridge University Press; 2003.

21. Hutchinson E., Mulvale J.P., Chaiyasit W.Climate change, conflict and health. Journal of the Royal Society of Medicine. 2014;(107):222–224.

22. Mouat D.A., Lourie M.A. Disproportionate exposure to air pollution from vehicles in low-income and minority communities: A review of the relevant literature and environmental justice interventions. International Journal of Environmental Research and Public Health. 2020;(17):6286.

23. Coenders M., Lubbers M., Scheepers P. Online discussion on Twitter: How affective and deliberative threads differ. Social Science Computer Review: 2019;(37):383–399.

24. Esser F., Hanitzsch T., еds. Handbook of comparative communication research. New York: Routledge; 2012.

25. Coser L.The Functions of Social Conflict. Glencoe, IL: Free Press; 1956.

26. Tufekci Z., Wilson C. Social media and the decision to participate in political protest: Observations from Tahrir Square. Journal of communication. 2012;(62):363–379.

27. Tufekci Z. Big questions for social media big data: Representativeness, validity and other methodological pitfalls. In Eighth international AAAI conference on weblogs and social media. 2014;8(1):505–514.

28. Llorente A., Garcia-Herranz M., Cebrian M., Moro E. Social media fingerprints of unemployment. PloS one. 2015;(10):1–13.

29. Bollen J., Mao H., Zeng X.Twitter mood predicts the stock market. Journal of Computational Science. 2012;(1):1–8.

30. Campbell A., Converse P.E., Rodgers W.L. The quality of American life: Perceptions, evaluations, and satisfactions. New York: Russell Sage Foundation; 1976.

31. Schmidt A., Harrison J. The social climate in the aftermath of the attacks in Paris: An analysis of online comments. European Journal of Communication. 2015;(30):179–196.

32. Schmidt A., Rizk R., Thies F. The refugee crisis in Europe: A text analytic approach to understanding social media reactions. Journal of Ethnic and Migration Studies. 2021;(47):2498–2517.

33. Craig R.T., Zhang Y., Amazeen M.A. Big data and protest: The social media pulse during Ferguson. New Media & Society. 2020;(22):1479–1499.

34. Chen Y., Zhang X. Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences. 2014;(275):314–347.

35. Liu Y., Li S., Sun X. A comprehensive review of social media sentiment analysis research from 2009 to 2018. International Journal of Information Management. 2019;(49):356–364.

36. Bleiweiss A. A Hierarchical Book Representation of Word Embeddings for Effective Semantic Clustering and Search. Portugal: In ICAART; 2017.

37. Choi D., Han J., Chung T., Ahn Y.Y., Chun B.G., Kwon T.T. Characterizing conversation patterns in reddit: From the perspectives of content properties and user participation behaviors. In Proceedings of the 2015 acm on conference on online social networks. 2015;(11):233–243.

38. Conover M.D., Ferrara E., Menczer F., Flammini A.The digital evolution of Occupy Wall Street. PloS one. 2013;(8):7–41.

39. Chen W., Wang Y., Yang S., Yang J. Political action awareness in social media: A case study on the 2010 congressional election in the United States. Journal of Information Technology & Politics. 2012;(9):1–16.

40. Tufekci Z. Social media and the decision to participate in political protest: Observations from Tahrir Square. Journal of Communication. 2013;(63): 363–382.

41. Drury J., Cocking C., Reicher S. Everyone for themselves? A comparative study of crowd solidarity among emergency survivors. British Journal of Social Psychology. 2009(48):487–506.


Review

For citations:


Kotov D.A. Social Tensions and the Possibility of Assessing their Impact Through the Analysis of Social Media. Humanities and Social Sciences. Bulletin of the Financial University. 2023;13(3):32-38. (In Russ.) https://doi.org/10.26794/2226-7867-2023-13-3-32-38

Views: 286


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2226-7867 (Print)
ISSN 2619-1482 (Online)