Twitter Based Digital Social Movement Pattern to Fight COVID-19

https://doi.org/10.22146/jsp.56872

Mohammad Thoriq Bahri(1*), Derajad Sulistyo Widhyharto(2)

(1) Faculty of Law and Political Sciences, University of Szeged, Hungary & Directorate General of Immigration, Ministry of Law and Human Rights, Republic of Indonesia, Indonesia
(2) Department of Sociology, Faculty of Social and Political Sciences, Universitas Gadjah Mada, Indonesia
(*) Corresponding Author

Abstract


Twitter has become a tool for people to trigger a social change, like what is happening right now during COVID-19 outbreaks. Most people are using social media platforms to express their perspectives. For the first time, this research aimed to analyze the pattern of a social movement that happened during COVID-19 Outbreaks by analyzing the Twitter dataset contains 23,476 tweets worldwide with the #COVID19 hashtag which was obtained from 02 March to 09 April 2020. Social Network Analysis tools are used to understand the pattern of movement. This research concluded that if the Government and Mainstream Media Twitter account triggered the conversation in the social media platform, followed by the activists and celebrities who engage in conversation between their followers, an ordinary person spread the point of view of the Government and Mainstream Media across their conversation network. The COVID-19 hashtag successfully engaged 10 protest clusters, which pushed the people to fight against COVID-19 in their countries, mostly targeting the government-related account. The digital social movement pattern is relatively different from the traditional social movement, even it has the same steps, which emerge, coalesce, bureaucratise, and the movement itself, but it takes place in the Digital Public Sphere without any social or political boundaries. The digital social movement forced the government to implement a better policy to fight the COVID-19 Pandemic, including to close the national border to prevent unnecessary effects of International Migration.

Keywords


COVID-19; digital social movement; twitter; SNA; immigration

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References

Adalat, M., & Niazi, M. A. (2017). Evaluating Roles of Central Users in Online Communication Networks: A Case Study of #PanamaLeaks. http://arxiv.org/abs/1711.06845

Barbier, G., Feng, Z., Gundecha, P., & Liu, H. (2013). Provenance Data in Social Media. Synthesis Lectures on Data Mining and Knowledge Discovery, 4(1), 1–84. https://doi.org/10.2200/S00496ED1V01Y201304DMK007

Bernard, A. (2019). Theory of the Hashtag, Cambridge: Polity Press. Polity Press.

Binder, T. (2020, May 3). #Covid 19 – Twitter evolution.

Bode, L., Hanna, A., Yang, J., & Shah, D. v. (2015). Candidate Networks, Citizen Clusters, and Political Expression: Strategic Hashtag Use in the 2010 Midterms. Annals of the American Academy of Political and Social Science, 659(1), 149–165. https://doi. org/10.1177/0002716214563923

Borgatti, S., Everett, M., & Freeman, L. (1992). UCINET IV : Network Analysis Software.Connections Journal, 15(1), 12–15.

Brunker, F., Wischnewski, M., Mirbabaie, M., & Meinert, J. (2020). Hawaii International Conference on System Sciences 2020. (Vol.53).

Derek, R., & Jürgen, P. (2014). Social media for large studies of behavior. Science, 346 (6213), 1063–1064. https:/ / doi. org/10.1126/science.346.6213.1063

Dewantara, R. W., & Widhyharto, D. S. (2016). Aktivisme dan Kesukarelawanan dalam Media Sosial Komunitas Kaum Muda Yogyakarta. Jurnal Ilmu Sosial Dan Ilmu Politik, 19(1), 40. https://doi.org/10.22146/ jsp.10855

Flesher Fominaya, C. (2010). Collective Identity in Social Movements: Central Concepts and Debates. Sociology Compass, 4(6), 393–404. https:// doi.org/https:/ /doi. org/10.1111/j.1751-9020.2010.00287.x

Isa, D., & Himelboim, I. (2018). A Social Networks Approach to Online Social Movement: Social Mediators and Mediated Content in #FreeAJStaff Twitter Network. Social Media and Society, 4(1). https://doi.org/10.1177/2056305118760807

Larson, J. M., Nagler, J., Ronen, J., & Tucker, J. A. (2019). Social Networks and Protest Participation: Evidence from 130 Million Twitter Users. Source: American Journal of Political Science, 63(3), 690–705. https://doi. org/10.7910/DVN/RLLLlV

Mattoni, A., & Treré, E. (2014). Media Practices, Mediation Processes, and Mediatization in the Study of Social Movements. Communication Theory, 24(3), 252–271. https://doi.org/https://doi.org/10.1111/ comt.12038

Navarria, G. (2019). The Networked Citizen. Springer Singapore. https://doi.org/10.1007/978-981-13-3293-7

Papacharissi, Z., & de Fatima Oliveira, M. (2012). Affective News and Networked Publics: The Rhythms of News Storytelling on #Egypt. Journal of Communication, 62(2), 266–282. https://doi.org/10.1111/j.1460-2466.2012.01630.x

Park, S., Lee, J., Ryu, S., & Hahn, K. S. (2015). The Network of Celebrity Politics: Political Implications of Celebrity Following on Twitter. Annals of the American Academy of Political and Social Science, 659(1), 246–258. https://doi.org/10.1177/0002716215569226

Petrič, G. (2006). Conceptualizing and Measuring the Social Uses of the Internet: The Case of Personal Web Sites. The Information Society, 22(5), 291–301. https:// doi.org/10.1080/01972240600904159

Poell, T., & Dijck, J. van. (2017). Social media and new protest movements. https://www. researchgate.net/publication/321781377

Polletta, F., & Jasper, J. M. (2001). Collective Identity and Social Movements. Annual Review of Sociology, 27(1), 283–305. https:// doi.org/10.1146/annurev.soc.27.1.283

Pond, P., & Lewis, J. (2019). Riots and Twitter: connective politics, social media and framing discourses in the digital public sphere. Information, Communication & Society, 22(2), 213–231. https://doi.org/10.1080/1369118X.2017.1366539

Porta, D. della, & Diani, M. (2020). Social Movements: An Introduction, 3rd Edition (Vol. 3). Wiley Blackwell.

Sierra-Caballero, F. (2018). Cyberactivism and social movements. The Oppositional Public Space in contemporary technopolitics. https:// doi.org/10.4185/RLCS-2018-1292en

Smith, M. A., Rainie, L., Shneiderman, B., & Himelboim, I. (2014, February 20). Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters. Pew Research Center. https://www. pewresearch.org/internet/2014/02/20/ mapping-twitter-topic-networks-from- polarized-crowd s-to-comm unity- clusters/

Welser, H. T., Gleave, E., Fisher, D., & Smith, M. (2007). Visualizing the Signatures of Social Roles in Online Discussion Groups. In Journal of Social Structure (Vol. 8, Issue 2).

Wolfsfeld, G., Segev, E., & Sheafer, T. (2013). Social Media and the Arab Spring: Politics Comes First. International Journal of Press/Politics, 18(2), 115–137. https://doi.org/10.1177/1940161212471716

World Health Organization. (2020, May 3). Timeline: WHO’s COVID-19 response. WHO COVID-19 Updates.

Yates, L. (2015). Everyday politics, social practices and movement networks: daily life in Barcelona’s social centres. The British Journal of Sociology, 66(2), 236–258. https://doi.org/https://doi.org/10.1111/1468-4446.12101



DOI: https://doi.org/10.22146/jsp.56872

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