DIGITAL POLITICS AND THE RISE OF "CYBER TROOPS": A STUDY OF SOCIAL MEDIA MANIPULATION AND ITS IMPACT ON INDONESIAN DEMOCRACY
Abstract
The proliferation of social media in Indonesia has introduced new dynamics in the political landscape. The rise of "cyber troops" groups or individuals paid to manipulate public opinion online has become a significant challenge to democratic processes. Social media platforms, once considered powerful tools for political engagement, are now being used to spread misinformation, propaganda, and polarizing content, undermining democratic integrity. This study aims to explore the role of social media manipulation through cyber troops and its impact on Indonesian democracy. Specifically, it investigates the techniques used by cyber troops to sway public opinion and the consequences for democratic processes, such as elections and public policy debates. A qualitative research approach was employed, utilizing content analysis of social media campaigns, interviews with political analysts, and case studies of recent political events in Indonesia. The study also examines the legal and ethical frameworks surrounding digital political manipulation. The research reveals that cyber troops significantly influence voter behavior and public discourse in Indonesia, creating a distorted political narrative. These activities have led to increased polarization and undermined public trust in democratic institutions. The study concludes that while social media has enhanced political engagement, it has also facilitated the manipulation of public opinion, posing risks to the democratic process in Indonesia. Effective regulation and media literacy initiatives are essential to mitigate the influence of cyber troops.
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References
Axelsson, C.-A. W., Nygren, T., Roozenbeek, J., & Van Der Linden, S. (2025). Bad News in the civics classroom: How serious gameplay fosters teenagers’ ability to discern misinformation techniques. Journal of Research on Technology in Education, 57(5), 992–1018. https://doi.org/10.1080/15391523.2024.2338451
Bozkurt, S., Gligor, D., Hollebeek, L. D., & Sumlin, C. (2025). Understanding the effects of firms’ unresponsiveness on social media toward customer feedback on customers’ engagement: The impact of ethnicity. Journal of Research in Interactive Marketing, 19(1), 59–75. https://doi.org/10.1108/JRIM-09-2023-0317
Brewer, P. R., Cuddy, L., Dawson, W., & Stise, R. (2025). Artists or art thieves? Media use, media messages, and public opinion about artificial intelligence image generators. AI & SOCIETY, 40(1), 77–87. https://doi.org/10.1007/s00146-023-01854-3
Hussain, I., Tan, S., & Huang, J. (2025). Few-shot based learning recaptured image detection with multi-scale feature fusion and attention. Pattern Recognition, 161, 111248. https://doi.org/10.1016/j.patcog.2024.111248
Jaruga-S?kowska, S., Sta?kiewicz-Bartecka, W., & Wo?niak-Holecka, J. (2025). The Impact of Social Media on Eating Disorder Risk and Self-Esteem Among Adolescents and Young Adults: A Psychosocial Analysis in Individuals Aged 16–25. Nutrients, 17(2), 219. https://doi.org/10.3390/nu17020219
Khan, A. A., Laghari, A. A., Inam, S. A., Ullah, S., Shahzad, M., & Syed, D. (2025). A survey on multimedia-enabled deepfake detection: State-of-the-art tools and techniques, emerging trends, current challenges & limitations, and future directions. Discover Computing, 28(1), 48. https://doi.org/10.1007/s10791-025-09550-0
Lundberg, E., & Mozelius, P. (2025). The potential effects of deepfakes on news media and entertainment. AI & SOCIETY, 40(4), 2159–2170. https://doi.org/10.1007/s00146-024-02072-1
Ma, L., Yang, P., Xu, Y., Yang, Z., Li, P., & Huang, H. (2025). Deep learning technology for face forgery detection: A survey. Neurocomputing, 618, 129055. https://doi.org/10.1016/j.neucom.2024.129055
Manasrah, A., Yaseen, Q., Al-Aqrabi, H., & Liu, L. (2025). Identity-Based Authentication in VANETs: A Review. IEEE Transactions on Intelligent Transportation Systems, 26(4), 4260–4282. https://doi.org/10.1109/TITS.2025.3528932
Mucundorfeanu, M., Balaban, D. C., & Mauer, M. (2025). Exploring the effectiveness of digital manipulation disclosures for Instagram posts on source credibility and authenticity of social media influencers. International Journal of Advertising, 44(1), 131–163. https://doi.org/10.1080/02650487.2024.2381973
Peter, S., Riemer, K., & West, J. D. (2025). The benefits and dangers of anthropomorphic conversational agents. Proceedings of the National Academy of Sciences, 122(22), e2415898122. https://doi.org/10.1073/pnas.2415898122
Qayyum, A., Jamil, R. A., Shah, A. M., & Lee, K. Y. (2025). Unpacking the dark side of positive online destination brand engagement: Effects on stress, disengagement, and switching intention. Current Issues in Tourism, 28(16), 2702–2720. https://doi.org/10.1080/13683500.2024.2387818
Talamayan, F., & Candelaria, J. L. (2025). Populist desires, nostalgic narratives: The Marcos golden age myth and manipulation of collective memories on YouTube. Asian Journal of Political Science, 33(1), 55–73. https://doi.org/10.1080/02185377.2024.2416116
Tarsney, C. (2025). Deception and manipulation in generative AI. Philosophical Studies, 182(7), 1865–1887. https://doi.org/10.1007/s11098-024-02259-8
Zecchinon, P., & Standaert, O. (2025). The War in Ukraine Through the Prism of Visual Disinformation and the Limits of Specialized Fact-Checking. A Case-Study at Le Monde. Digital Journalism, 13(1), 61–79. https://doi.org/10.1080/21670811.2024.2332609
Authors
Copyright (c) 2025 João Costa, Maria Silva, Pedro Santos

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