Is the Indonesian Government Islamophobic? Studies Using Social Network Analysis

Abstract

This study aims to map the narratives, networks, and influential figures on social media Twitter after the arrest of suspected terrorists (Farid Okbah cs and Sunardi) by Detachment 88 anti-terror in Indonesia. We use the social network and content analysis methods in collecting and analyzing research data. The results of this study show that the anti-Islamic political group with government (opposition) is currently trying to make a narrative that the Indonesian government is Islamophobic, by utilizing the momentum of suspected terrorist arrests in Farid Okbah and Sunardi by Detachment 88 by shifting the issue of terrorist arrests from the JI group who are also members of MUI with the demand for dissolving the Government Institution Detachment 88 Anti-terror. The social network map shows that there were three groups engaged in the arrest of suspected terrorists Farid Okbah and Sunardi, 1) Muslim Group Cyber Army (MCA); 2) Pro-government buzzer group through Denny Siregar’s account; 3) The provocateurs group. The arrest of Farid Okbah and Sunardi turned into political issues, Islamic groups (MUI) vs. Government (Detachment). The arrest of Farid Okbah by Detachment 88 was dominated by #saminawaathonaibhrs and #Islamophobia, while the dominant narrative after the suspected arrest of Sunardi’s is #PKItangkapulama (PKI Arrest Ulama) and #dukungMUI (Support MUI), both of these things showed an effort to accompany the issue to the political narrative of the opposition group to weaken the government with the narrative that discriminated government of Islamic groups.


Keywords: Islamophobia, social network analysis, narrative analysis, social media

References
[1] Miles R, Brown M. Racism: Second Edition. 2003.

[2] Baloğlu U. Trolls, pressure, and agenda: The discursive fight on twitter in Turkey. Media Commun. 2021;9(4):39–51.

[3] Eckert S, Metzger-Riftkin J, Kolhoff S, O’Shay-Wallace S. A hyper differential counterpublic: Muslim social media users and Islamophobia during the 2016 US presidential election. New Media Soc. 2021;23(1):78–98.

[4] Park CS. Does Twitter motivate involvement in politics? Tweeting, opinion leadership, and political engagement. Comput Human Behav. 2013;29(4):1641–1648.

[5] Yaqub U, Chun SA, Atluri V, Vaidya J. Analysis of political discourse on twitter in the context of the 2016 US presidential elections. Gov Inf Q. 2017;34(4):613–626.

[6] Brunsting S, Postmes T. Social movement participation in the digital age: predicting offline and online collective action. Small Group Res. 2002;33(5):525–554.

[7] Starbird K, Palen L, Hughes AL, Vieweg S. “Chatter on the red: What hazards threat reveals about the social life of microblogged information.” Proc ACM Conf Comput Support Coop Work. CSCW. 2010. pp. 241–250.

[8] Kietzmann JH, Hermkens K, McCarthy IP, Silvestre BS. Social media? Get serious! Understanding the functional building blocks of social media. Bus Horiz. 2011;54(3):241–251.

[9] Palen L, Vieweg S. “The emergence of online widescale interaction in unexpected events: Assistance, alliance & retreat.” Proc ACM Conf Comput Support Coop Work CSCW. 2008. pp. 117–126.

[10] Putera VS, Sirodj DAN, Permana RH. “Vaksinasi Covid-19 di Media Sosial Twitter; Tinjauan Content dan Social Network Analysis.” Komunikologi J Pengemb Ilmu Komun dan Sos. 2021;5(2):109. https://doi.org/10.30829/komunikologi.v5i2.9771.

[11] Castillo C, Mendoza M, Poblete B. “Information credibility on Twitter.” Proc 20th Int Conf. Companion World Wide Web, WWW 2011, pp. 675–684, 2011.

[12] Frey BB. “Social network analysis: Methods and applications.” SAGE Encycl Res Des. 2022. https://doi.org/10.4135/9781071812082.n576

[13] Newman ME. Scientific collaboration networks. I. Network construction and fundamental results. Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Jul;64(1 Pt 2):016131.

[14] Borgatti SP, Foster PC. The network paradigm in organizational research: A review and typology. J Manage. 2003;29(6):991–1013.

[15] Wellman B. An electronic group is virtually a social network. Cult Internet Hillsdale; 1997. pp. 179–205.

[16] Pryke SD. Analysing construction project coalitions: Exploring the application of social network analysis. Construct Manag Econ. 2004;22(8):787–797.

[17] Demuth C, Mey G. Qualitative methodology in developmental psychology. Volume 19. 2nd ed. Int Encycl Soc Behav Sci. 2015:668–675.