The Role of AI, Filter Bubbles, and Echo Chambers in Political and Religious Polarization on Social Media
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Keywords

Artificial Intelligence, Filter Bubble, Echo Chamber, Political Polarization, Religion, Social Media

How to Cite

Zabieno, A., Damayanti, D., & Abdullah, A. (2025). The Role of AI, Filter Bubbles, and Echo Chambers in Political and Religious Polarization on Social Media. Dinamika Penelitian: Media Komunikasi Penelitian Sosial Keagamaan, 25(2), 102-118. https://doi.org/10.21274/dinamika.2025.25.2.102-118

Abstract

This research is motivated by the existence of AI, filter bubbles, and echo chambers, which narrow the scope of interaction and isolate users from diverse perspectives. In Indonesia, politicians often use religion as a political tool, which further exacerbates the situation. This research aims to understand how the interaction between AI, filter bubbles, and echo chambers impacts political and religious polarization on social media. This study employed a qualitative approach, utilizing a literature review method that analyzed relevant journal articles. The results indicate that political and religious polarization occurs when society is divided into groups with increasingly divergent views and values, thereby exacerbating social tensions and widening the gap between these groups. AI makes extreme political content more likely to be shared than moderate information. Filter bubbles limit exposure to differing views and reinforce confirmation bias. The echo chamber exacerbates polarization by encouraging individuals to interact only with those who share their beliefs. Individuals or groups vulnerable to polarization are those who have difficulty accepting new information, only consume content that aligns with their beliefs, perceive other groups as being unobjective or biased, and have low digital awareness and literacy. The principle of Islamic brotherhood can help mitigate political and religious polarization by teaching the importance of mutual respect for differences and maintaining harmony among Muslims.

https://doi.org/10.21274/dinamika.2025.25.2.102-118
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References

Amendola, M., Cavaliere, D., De Maio, C., Fenza, G., & Loia, V. (2024). Towards Echo Chamber Assessment by Employing Aspect-Based Sentiment Analysis and GDM ConsensusMmetrics. Online Social Networks and Media, 39–40(February), 100276. https://doi.org/10.1016/j.osnem.2024.100276

Cheng, H. P., & Swee, E. L. (2024). Farewell President! Political Favoritism, Economic Inequality, and Political Polarization. European Journal of Political Economy, 81(September 2023), 102483. https://doi.org/10.1016/j.ejpoleco.2023.102483

Colina, Y. (2020). Government Policy in Preventing the Politicization of Religion in the 2024 Election.Journal of Religious Policy, 3(2), 19–36. https://doi.org/DOI: https://doi.org/10.31330/repo.v3i2.44

Creswell, W. J., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative adn Mixed Methods Approaches. In SAGE Publications (5th ed., Vol. 53, Issue 9). https://books.google.co.id/books/about/Research_Design.html?id=s4ViswEACAAJ&redir_esc=y

Donkers, T., & Ziegler, J. (2023). De-Sounding Echo Chambers: Simulation-Based Analysis of Polarization Dynamics in Social Networks. Online Social Networks and Media, 37–38(2023), 100275. https://doi.org/10.1016/j.osnem.2023.100275

Ekström, A. G., Niehorster, D. C., & Olsson, E. J. (2022). Self-Imposed Filter Bubbles: Selective Attention and Exposure in Online Search. Computers in Human Behavior Reports, 7(p. 100226). https://doi.org/10.1016/j.chbr.2022.100226

Fang, X., Heuser, S., & Stötzer, L. S. (2025). How In-Person Conversations Shape Political Polarization: Quasi-Experimental Evidence from a Nationwide Initiative. Journal of Public Economics, 242(January), 105309. https://doi.org/10.1016/j.jpubeco.2025.105309

Ferraz de Arruda, H., Oliveira, K. A., & Moreno, Y. (2024). Echo Chamber Formation Sharpened by Priority Users.IScience, 27(11), 111098. https://doi.org/10.1016/j.isci.2024.111098

Grünwald, L., & Patterson, J. (2025). Roadblocks of Polarization: Interpretive Mechanisms of Opposition to a Speed Limit Policy on German Highways. Energy Research and Social Science, 122(February), 104009. https://doi.org/10.1016/j.erss.2025.104009

Hidayah, A. R., & Nur, M. A. (2024). Analisis Tantangan Moderasi Beragama di Era Digital melalui Perspektif Teori Filter Bubble dan Echo Chamber. Jurnal Sosial Humaniora, 17(2), 150. https://doi.org/10.12962/j24433527.v17i2.22119

Iqbal, M., Singh, K., Khan, S., Osho, O., Sidnam-Mauch, E., Bannister, N., Caine, K., & Knijnenburg, B. (2025). Teaching AI Awareness in Middle School Classrooms: Design, Implementation and Evaluation of Two Education Modules on Algorithmic Bias and Filter Bubbles. Computers and Education: Artificial Intelligence, 8(December 2024), 100425. https://doi.org/10.1016/j.caeai.2025.100425

Karim, S. (2021). Polarisasi Politik Islam Di Tengah Pandemi Covid-19 Dan Peta Politik 2024. SENASPOLHI 3 FISIP UNWAHAS 2021. https://publikasiilmiah.unwahas.ac.id/index.php/SENASPOLHI/article/download/5648/3763

Martin-Gutierrez, S., Losada, J. C., & Benito, R. M. (2023). Multipolar Social Systems: Measuring Polarization beyond Dichotomous Contexts. Chaos, Solitons and Fractals, 169(September 2022). https://doi.org/10.1016/j.chaos.2023.113244

Olsson, E. J., Madison, G., & Ekström, A. G. (2025). Is Google Liberal on Immigration? Attitude Bias, Politicisation and Filter Bubbles in Search Engine Result Pages. Heliyon, 11(3). https://doi.org/10.1016/j.heliyon.2025.e42020

Pariser, E. (2011). The Filter Bubble: What the Internet is Hiding from You. Penguin Press. http://www.worldcat.org/search?qt=worldcat_org_all&q=1594203008

Phillips, J. B. (2024). Affective Polarization and Habits of Political Participation. Electoral Studies, 87, 102733. https://doi.org/10.1016/j.electstud.2023.102733

Shohib, M., Al Masithoh, S., & Al-Ghifari, F. H. (2024). Ukhuwah Islamiyah dan Interaksi Harmonis Antarumat Beragama di Indonesia: Kajian Tafsir Ayat-Ayat Ukhuwah dalam Al-Qur’an. Al Furqan: Jurnal Ilmu Al Quran Dan Tafsir, 7(2), 493–512. https://doi.org/10.58518/alfurqon.v7i2.2934

Tanjung, M. T. H., & Abdullah, A. (2025). The Concept of Communication in the Quran; Analysis of Theory and Practice. International Journal of Education, Social Studies, And Management (IJESSM), 5(1), 72–85. https://doi.org/10.52121/ijessm.v5i1.629

Widiatmaka, P., Nuryadi, M. H., Sugiyanto, A., & Yani, A. (2024). Politik agama di Indonesia: politisasi agama Islam dalam kontestasi pemilihan umum. Humanika: Kajian Ilmiah Mata Kuliah Umum. 24, 2, 127–140. https://doi.org/10.21831/hum.v24i2.71424.

Wu, Y., Li, L., Yu, Q., Gan, J., & Zhang, Y. (2023). Strategies for Reducing Polarization in Social Networks. Chaos, Solitons and Fractals, 167(January), 113095. https://doi.org/10.1016/j.chaos.2022.113095

Yen, D. A., & Dey, B. (2019). Acculturation in the Social Media: Myth or Reality? Analysing Social-Media-Led Integration and Polarisation. Technological Forecasting and Social Change, 145(April), 426–427. https://doi.org/10.1016/j.techfore.2019.04.012

Young, D. J., Madsen, J. K., & De-Wit, L. H. (2025). Belief Polarization can be Caused by Disagreements over Source Independence: Computational Modelling, Experimental Evidence, and Applicability to Real-World Politics. Cognition, 259(March), 106126. https://doi.org/10.1016/j.cognition.2025.106126

Yunus, F. M., Yasin, T. H., & Rijal, S. (2023). Politik Identitas dan Politisasi Agama Dalam Konteks Pemilu di Indonesia. Jurnal Sosiologi Dialektika Sosial, 9(2), 121–137. https://doi.org/10.29103/jsds.v9i2.12590

Zahro, F., & Saputri, F. I. . (2024). Polarisasi Politik di Lingkungan Pondok Pesantren dalam Pemilihan Umum 2024. Manabia: Journal of Constitutional Law, 4(01), 21–36. https://doi.org/10.28918/manabia.v4i01.8663

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