Tinjauan Fenomena Apatisme Sosial Merespons Sindrom Kelelahan Informasi Akibat Hoaks Kecerdasan Buatan
Keywords:
apatisme sosial, hoaks kecerdasan buatan, information overloadAbstract
Perkembangan kecerdasan buatan, khususnya teknologi deepfake dan generative artificial intelligence, telah mengubah karakter hoaks digital karena konten palsu dapat diproduksi secara masif, cepat, murah, personal, dan semakin menyerupai informasi autentik. Artikel ini bertujuan mengkaji hubungan antara hoaks berbasis kecerdasan buatan, information overload, sindrom kelelahan informasi, penghindaran berita, sinisme politik, dan apatisme sosial. Penelitian ini menggunakan pendekatan tinjauan literatur sistematis dengan sintesis tematik. Literatur yang relevan diidentifikasi, diseleksi, dan dianalisis melalui pengelompokan temuan lintas disiplin dalam bidang teknologi informasi, psikologi kognitif, perilaku media, dan partisipasi sosial. Pembahasan mengidentifikasi empat klaster konseptual, yaitu evolusi hoaks berbasis kecerdasan buatan, beban kognitif dan pembentukan sindrom kelelahan informasi, penghindaran berita dan apatisme sosial sebagai mekanisme koping, serta implikasi sosial-politik dan strategi mitigasi multidimensi. Paparan berulang terhadap hoaks artificial intelligence (AI) dapat melampaui kapasitas kognitif pengguna, sehingga memicu stres, kejenuhan, kecemasan, dan kelumpuhan analitik dalam menilai kredibilitas informasi. Sebagai mekanisme koping, individu dapat menghindari berita dan menarik diri dari diskursus publik. Kajian ini menyimpulkan bahwa apatisme sosial tidak semata-mata merupakan kemalasan intelektual, tetapi respons adaptif terhadap ekosistem informasi yang manipulatif dan tidak tepercaya. Upaya mitigasi perlu mencakup deteksi teknis, reformasi desain platform, literasi digital kritis, regulasi adaptif, dan pemulihan kepercayaan publik.
References
Ahmad, T., Lazarte, E. A. A., & Mirjalili, S. (2022). A Systematic Literature Review on Fake News in the COVID-19 Pandemic: Can AI Propose a Solution? Applied Sciences, 12(24). https://doi.org/10.3390/app122412727
Ahmed, S., Masood, M., Deng, R., & Malviya, S. (2025). Why cynics disengage: the nexus of political cynicism, misinformation, and online political participation. Asian Journal of Communication, 35(5), 381–402. https://doi.org/10.1080/01292986.2025.2538142
Apuke, O. D., Omar, B., Tunca, E. A., & Gever, C. V. (2024). Information overload and misinformation sharing behaviour of social media users: Testing the moderating role of cognitive ability. Journal of Information Science, 50(6), 1371–1381. https://doi.org/10.1177/01655515221121942
Arikewuyo, A. O. (2025). Is AI Stirring Innovation or Chaos? Psychological Determinants of AI Fake News Exposure (AI-FNE) and Its Effects on Young Adults. Journalism and Media, 6(2). https://doi.org/10.3390/journalmedia6020053
Balakrishnan, V., Ng, W. Z., Soo, M. C., Han, G. J., & Lee, C. J. (2022). Infodemic and fake news – A comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: A scoping review. International Journal of Disaster Risk Reduction, 78. https://doi.org/10.1016/j.ijdrr.2022.103144
Bawden, D., & Robinson, L. (2009). The dark side of information: Overload, anxiety and other paradoxes and pathologies. Journal of Information Science, 35(2), 180–191. https://doi.org/10.1177/0165551508095781;WEBSITE:WEBSITE:SAGE;ISSUE:ISSUE:DOI
Boediman, E. P. (2025). Exploring the impact of deepfake technology on public trust and media manipulation: A scoping review. Jurnal Komunikasi, 19(2), 313–334. https://doi.org/10.20885/komunikasi.vol19.iss2.art8
Ceylan, G., Anderson, I. A., & Wood, W. (2023). Sharing of misinformation is habitual, not just lazy or biased. Proceedings of the National Academy of Sciences of the United States of America, 120(4). https://doi.org/10.1073/pnas.2216614120
Eppler, M. J., & Mengis, J. (2004). The Concept of Information Overload: A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines. The Information Society, 20(5), 325–344. https://doi.org/10.1080/01972240490507974
Feuerriegel, S., DiResta, R., Goldstein, J. A., Kumar, S., Lorenz-Spreen, P., Tomz, M., & Pröllochs, N. (2023). Research can help to tackle AI-generated disinformation. Nature Human Behaviour, 7(11), 1818–1821. https://doi.org/10.1038/s41562-023-01726-2
Goyanes, M., Ardèvol-Abreu, A., & Gil de Zúñiga, H. (2023). Antecedents of News Avoidance: Competing Effects of Political Interest, News Overload, Trust in News Media, and “News Finds Me” Perception. Digital Journalism, 11(1), 1–18. https://doi.org/10.1080/21670811.2021.1990097
Guess, A. M., Lerner, M., Lyons, B., Montgomery, J. M., Nyhan, B., Reifler, J., & Sircar, N. (2020). A digital media literacy intervention increases discernment between mainstream and false news in the United States and India. Proceedings of the National Academy of Sciences of the United States of America, 117(27), 15536–15545. https://doi.org/10.1073/PNAS.1920498117;WGROUP:STRING:PUBLICATION
Juditha, C. (2025). Jurnal Ilmiah Manajemen Informasi dan Komunikasi. Jurnal Jurnal Ilmiah Manajemen Informasi Dan Komunikasi, 9(1), 28–41.
Łabuz, M., & Nehring, C. (2024). Information apocalypse or overblown fears—what AI mis- and disinformation is all about? Shifting away from technology toward human reactions. Politics and Policy, 52(4), 874–891. https://doi.org/10.1111/polp.12617
Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., … Zittrain, J. L. (2018). The science of fake news: Addressing fake news requires a multidisciplinary effort. Science, 359(6380), 1094–1096. https://doi.org/10.1126/SCIENCE.AAO2998;PAGEGROUP:STRING:PUBLICATION
Liu, Q., Wang, L., & Luo, M. (2025). When seeing is not believing: self-efficacy and cynicism in the era of intelligent media. Humanities and Social Sciences Communications, 12(1). https://doi.org/10.1057/s41599-025-04594-5
Momeni, M. (2025). Artificial Intelligence and Political Deepfakes: Shaping Citizen Perceptions Through Misinformation. Journal of Creative Communications, 20(1), 41–56. https://doi.org/10.1177/09732586241277335
Neyazi, T. A., Nadaf, A. H., Tan, K. E., & Schroeder, R. (2024). Does trust in government moderate the perception towards deepfakes? Comparative perspectives from Asia on the risks of AI and misinformation for democracy. Government Information Quarterly, 41(4), 101980. https://doi.org/10.1016/J.GIQ.2024.101980
Ni, T., Zhu, R., & Krever, R. (2023). Responses to News Overload in a Non-Partisan Environment: News Avoidance in China. SAGE Open, 13(3). https://doi.org/10.1177/21582440231184864
Noelle‐Neumann, E. (1974). The Spiral of Silence A Theory of Public Opinion. Journal of Communication, 24(2), 43–51. https://doi.org/10.1111/J.1460-2466.1974.TB00367.X;WGROUP:STRING:PUBLICATION
Nurdin, W., & Nugraha, F. (2025). Ancaman deepfake dan disinformasi berbasis AI: Implikasi terhadap keamanan siber dan stabilitas nasional Indonesia. JIMR: Journal Of International Multidisciplinary Research, 4(01), 73–92. https://doi.org/10.62668/jimr.v4i01.1551
Pantazi, M., Hale, S., & Klein, O. (2021, December 1). Social and Cognitive Aspects of the Vulnerability to Political Misinformation. Political Psychology, Vol. 42, pp. 267–304. John Wiley and Sons Inc. https://doi.org/10.1111/pops.12797
Pennycook, G., & Rand, D. G. (2021, May 1). The Psychology of Fake News. Trends in Cognitive Sciences, Vol. 25, pp. 388–402. Elsevier Ltd. https://doi.org/10.1016/j.tics.2021.02.007
Perach, R., Joyner, L., Husbands, D., & Buchanan, T. (2023). Why Do People Share Political Information and Misinformation Online? Developing a Bottom-Up Descriptive Framework. Social Media and Society, 9(3). https://doi.org/10.1177/20563051231192032
Raman, R., Nair, V. K., Nedungadi, P., Sahu, A. K., Kowalski, R., Ramanathan, S., & Achuthan, K. (2024). Fake news research trends, linkages to generative artificial intelligence and sustainable development goals. Heliyon, 10(3). https://doi.org/10.1016/j.heliyon.2024.e24727
Rasul, M. E., Calabrese, C., Jung Oh, Y., Cho, H. J., Jeon, M., & Boukes, M. (2025). “It’s All Fake News!”: How Perceptions of Misinformation and Disinformation Influence News Consumption Across Traditional Media, Social Media, and AI. Journalism and Mass Communication Quarterly, 102(4), 993–1019. https://doi.org/10.1177/10776990251373085
Ruffo, G., Semeraro, A., Giachanou, A., & Rosso, P. (2023). Studying fake news spreading, polarisation dynamics, and manipulation by bots: A tale of networks and language. Computer Science Review, 47. https://doi.org/10.1016/j.cosrev.2022.100531
Schäfer, S., Aaldering, L., & Lecheler, S. (2023). “Give Me a Break!” Prevalence and Predictors of Intentional News Avoidance During the COVID-19 Pandemic. Mass Communication and Society, 26(4), 671–694. https://doi.org/10.1080/15205436.2022.2125406
Schäfer, S., Betakova, D., & Lecheler, S. (2024). Zooming in on Topics: An Investigation of the Prevalence and Motives for Selective News Avoidance. Journalism Studies, 25(12), 1423–1440. https://doi.org/10.1080/1461670X.2024.2338114
Sweller, J. (2011). Cognitive Load Theory. Psychology of Learning and Motivation - Advances in Research and Theory, 55, 37–76. https://doi.org/10.1016/B978-0-12-387691-1.00002-8
Tandoc, E. C., & Kim, H. K. (2023). Avoiding real news, believing in fake news? Investigating pathways from information overload to misbelief. Journalism, 24(6), 1174–1192. https://doi.org/10.1177/14648849221090744
Tomassi, A., Falegnami, A., & Romano, E. (2024). Mapping automatic social media information disorder. The role of bots and AI in spreading misleading information in society. PLoS ONE, 19(5). https://doi.org/10.1371/journal.pone.0303183
Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151. https://doi.org/10.1126/SCIENCE.AAP9559
Xu, J., He, Z., Guo, D., & Ding, Y. (2024). Relationship between news overload and news avoidance: A meta-analysis. Journalism. https://doi.org/10.1177/14648849241299667
Zahra, Y. (2025). Understanding and Mitigating AI-Generated Hoax Information. Jurnal Sistem Informasi Dan Teknik Informatika, 3(2), 56–61.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Muhammad Zufar Syaafi’, Davin Aliffian Arrafi, Shintaningtyas Prastiwi Putri, Nugroho Dwi Putranto, Taufiqurrahman Taufiqurrahman

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.










