Political Polarization Mechanics on Persian Twitter (X): A Social Network Analysis of the 2024 Iranian Presidential Election

Document Type : Original article

Authors

1 Department of Economic Sociology and Development, Science and Research Branch, Islamic Azad University, Tehran, Iran.

2 Department of Cyberspace Studies, Communication Research Institute, Research Institute for Culture, Art, and Communication, Tehran, Iran.

3 Artificial Intelligence, Azad University of Karaj, Iran.

10.22059/jcss.2025.388449.1122

Abstract

Background: The 2024 Iranian presidential election intensified political polarization on Persian Twitter (X), where ideological factions engaged in networked contestation. This study employs social network analysis to examine polarization mechanics, mapping key actors, echo chambers, and discursive strategies. Findings illuminate digital factionalism, algorithmic amplification, and the role of influencers in political mobilization.
Aims: This study explores the mechanisms driving political polarization on Persian Twitter (X) during the 2024 Iranian presidential election.
Methodology: Utilizing computational social science methodologies, the research combines social network analysis (SNA) and thematic analysis to examine over 133,000 active users and numerous election-related hashtags. Data collection spanned June 1–16, 2024, leveraging Twitter's API to identify clusters, user interactions, and thematic trends. Key tools included the Louvain algorithm for community detection and centrality measures for network analysis, visualized through Gephi software.
Findings: Findings reveal a fragmented political landscape characterized by ideological divides, echo chambers, and limited interaction between opposing factions. Analysis identified six major clusters, each aligned with distinct political affiliations, including reformists, conservatives, and opposition groups. Thematic analysis further highlighted the rhetoric surrounding leading candidates Masoud Pezeshkian and Saeed Jalili, revealing polarized sentiments and distinct narratives among their supporters and detractors. The study also underscores the role of platform algorithms, influencer strategies, and group identities in deepening polarization.
Conclusions: This research contributes to the understanding of digital polarization within Iran's socio-political context. It emphasizes the dual role of social media as both a space for public discourse and a driver of ideological segregation. Recommendations include strategies for promoting digital literacy, fostering inclusive discussions, and enhancing algorithmic transparency to mitigate polarization in Iran.

Keywords

Main Subjects

References

Ahmed, S.; Jaidka, K. & Cho, J. (2016). “The 2014 Indian elections on Twitter: A comparison of campaign strategies of political parties”. Telematics and Informatics. 33(4): 1071-1087. https://doi.org/10.1016/j.tele.2016.03.002.
Ahmed, S. & Skoric, M. M. (2014). “My name Is Khan: The Use of Twitter in the Campaign for 2013 Pakistan General Election”. 47th Hawaii International Conference on System Sciences. https://doi.org/10.1109/hicss.2014.282.
Arsalani, A.; Sakhaei, S. & Zamani, M. (2022). “ICT for children: The continuous need for media literacy”. Socio-Spatial Studies. 6(1): 1-11. https://doi.org/10.22034/soc.2022.211944.
Beam, M.A.; Hutchens, M.J. & Hmielowski, J.D. (2018). “Facebook news and (de)polarization: Reinforcing spirals in the 2016 election”. Information, Communication, & Society. 21(7): 940-958. https://doi.org/10.1080/1369118X.2018.1444783.  
Berelson, B.R.; Lazarsfeld, P.F. & McPhee, W.N. (1954). Voting: A Study of Opinion Formation in a Presidential Campaign. University of Chicago Press.
Blondel, V.D.; Guillaume, J.L.; Lambiotte, R. & Lefebvre, E. (2008). “Fast unfolding of communities in large networks”. Journal of Statistical Mechanics: Theory and Experiment. 10: P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008.
Bode, L. & Dalrymple, K.E. (2020). “Politics in 140 characters or less: Campaign communication, network heterogeneity, and Twitter use by US politicians”. Political Communication. 37(2): 226-249. http://dx.doi.org/10.1080/15377857.2014.959686.
Bovet, A. & Makse, H. A. (2019). “Influence of fake news in Twitter during the 2016 US presidential election”. Nature Communications. 10(1): 1-9. https://doi.org/10.1038/s41467-018-07761-2.
Cacciatore, M.A., Scheufele, D A. & Iyengar, S. (2015). “The end of framing as we know it… and the future of media effects”. Mass Communication and Society. 19(1): 7-23. https://doi.org/10.1080/15205436.2015.10 68811.
Campante, F.R. & Hojman, D.A. (2013). “Media and polarization: Evidence from the introduction of broadcast TV in the United States”. Journal of Public Economics. 100: 79-92.  https://doi.org/10.1016/j.jpubeco.2013.02.006.
Colleoni, E.; Rozza, A. & Arvidsson, A. (2014). "Echo Chamber or public sphere? Predicting political orientation and measuring political homophily in Twitter using big data". Journal of Communication. 64(2): 317-332.  https://doi.org/10.1111/jcom.12084.
Conover, M.D.; Ferrara, E.; Menczer, F. & Flammini, A. (2018). “The digital echo chamber: Understanding the referral structure of political memes on Facebook”. Political Communication. 35(3): 396-418.
DellaVigna, S. & Kaplan. (2007). The Fox News Effect: Media Bias and Voting. Q.J. Econ.
Druckman, J.N.; Klar, S.; Krupnikov, Y.; Levendusky, M. & Ryan, J.B. (2022). “(Mis)estimating affective polarization”. The Journal of Politics. 84(2): 1106-1117. https://doi.org/10.1086/715603.
Esteban, J.M. & Ray, D. (1994). “On the measurement of polarization”. Econometrica: Journal of the Econometric Society. 819-851. https://doi.org/10.2307/2951734.
Girvan, M. & Newman, M.E. (2002). “Community structure in social and biological networks”. Proceedings of the National Academy of Sciences. 99(12): 7821-7826. https://doi.org/10.1073/pnas.122653799.
Goldani, M. (2018). “A model for optimizing the economic behavior of countries in asymmetric power conflicts using game theory and prospect theory”. Journal of Defense Economics and Sustainable Development. 3(7): 107-123.
Granovetter, M. (1973). "The strength of weak ties". American Journal of Sociology. 78(6): 1.
Guo, J. & Hu, Y. (2023). “Does social media use polarize or depolarize political opinion in China? Explaining opinion polarization within an extended communication mediation model”. Social Media + Society. 9(3). https://doi.org/10.1177/20563051231196899.
Hosseini, S.H.; Nosraty, N. and Tomraee, S. (2025). “Children, healthy lifestyle and media literacy.” Journal of Cyberspace Studies. 9(1): 1-23. https://doi.org/10.22059/jcss.2024.387609.1120.
Huckfeldt, R.R. (1995). Citizens, Politics and Social Communication: Information and Influence in an Election Campaign. Cambridge University Press
Kalmoe, N. P., & Mason, L. (2022). Radical American partisanship: Mapping violent hostility, its causes, and the consequences for democracy. Chicago, IL: University of Chicago Press.
Kaplan, A.M. & Haenlein, M. (2010). “Users of the world, unite! The challenges and opportunities of Social Media”. Business Horizons. 53(1): 59-68.  https://doi.org/10.1016/j.bushor.2009.09.003.
Khan, A. & Rahman, A.U. (2023). “Role of Politicians in Creating Political Polarization through Media. Global Strategic & Security Studies Review. VIII(II): 71-79.  http://dx.doi.org/10.31703/gsssr.2023(VIII-II).08.
Kim, B.; Broussard, R. & Barnidge, M. (2020). “Testing political knowledge as a mediator of the relationship between news use and affective polarization”. The Social Science Journal. 1–13. https://doi.org/10.1080/03623319.2020.1750845.
Kim, M., & Kim, C. (2018). Personality basis for partisan news media use: Openness to experience and consumption of liberal news media. Mass Communication and Society, 21(6), 814–833. https://doi.org/10.1080/15205436.2018.1506035.  
Klapper, J.T. (1960). The Effects of Mass Communication. Glencoe: The Free Press.
Mason, L. (2018). Uncivil agreement: How politics became our identity. Chicago, IL: University of Chicago Press.
McPherson, M.; Smith-Lovin L. & Cook, J.M. (2001). "Birds of a feather: Homophily in social networks". Annual Review of Sociology. 27(1): 415-444. https://doi.org/10.1146/annurev.soc.27.1.415.
Mutz, D.C. (2006). Hearing the Other Side: Deliberative versus Participatory Democracy. Cambridge University Press.
---------------. (2002). "Cross-cutting social networks: Testing democratic theory in practice". American Political Science Review. 96(1): 111-126. https://doi.org/10.1017/S0003055402004264.
Noelle-Neumann, E. (1974). “The Spiral of Silence: A Theory of Public Opinion”. Journal of Communication. 24(2): 43-51.
Nordbrandt, M. (2023). “Affective polarization in the digital age: Testing the direction of the relationship between social media and users’ feelings for out-group parties”. New Media & Society. 25(12): 3392-3411. https://doi.org/10.1177/14614448211044393.
Nosraty, N.; Sakhaei, S. & Rezaei, R. (2021). “The impact of social media on mental health: A critical examination”. Socio-Spatial Studies. 5(1): 101-11. https://doi.org/10.22034/soc.2021.212042.
Otieno, P. (2024). “The impact of social media on political polarization”. Journal of Communication. 4: 56-68. https://doi.org/10.47941/jcomm.1686.
Pariser, E. (2011). The Filter Bubble: What the Internet Is Hiding from You. Penguin.
Ressler, S. (2006). “Social network analysis as an approach to combat terrorism: Past, present, and future research”. Homeland Security Affairs. 2(2): 1-9.
Saaida, M. (2023). “The role of social media in shaping political discourse and propaganda”. Free ChatGPT Extension. 3:1-8. http://dx.doi.org/10.5281/zenodo.10841870.
Shahghasemi, E. (2023). “Ukraine War as Fought on Iran’s X”. Journal of World Sociopolitical Studies. 7(3): 573-607. https://www.doi.org/10.22059/wsps.2024.369923.1402.
Shahghasemi, E. & Prosser, M. (2019). “The Middle East: Social Media Revolution in Public and Private Communication”. International Conference on Future of Social Sciences and Humanities. Warsaw. https://www.doi.org/10.33422/fshconf.2019.06.345.
Shahghasemi, E.; Sabbar, S.; Zohouri, M. & Sabzali, M. (2023). “New communication technologies and the demise of ‘natural’ education”. Digitalization and Society Symposium, Istanbul.
Sunstein, C.R. (2017). #Republic: Divided Democracy in the Age of Social Media. Princeton University Press.
Tandoc Jr, E.C.; Lim, D. & Ling, R. (2020). “Diffusion of disinformation: How social media users respond to fake news and why”. Journalism. 21(3): 381-398. https://doi.org/10.47941/jcomm.1686.
Wojcieszak, M.; Winter, S. & Yu, C. (2020). “Social norms and selectivity: Effects of open-mindedness on content selection and affective polarization”. Mass Communication and Society. 23(4): 455-483. https://www.doi.org/10.1080/15205436.2020.1714663.
Journal of Cyberspace Studies
Volume 9, Issue 1
January 2025
Pages 175-201

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