Cited by 9Social Media and PoliticsMedia Influence and PoliticsMisinformation and Its Impacts

AI and Social Media: A Political Economy Perspective

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Acemoglu, Daron, Ozdaglar, Asuman, Siderius, James·2025·National Bureau of Economic Research

Abstract

We consider the political consequences of the use of artificial intelligence (AI) by online platforms engaged in social media content dissemination, entertainment, or electronic commerce. We identify two distinct but complementary mechanisms, the social media channel and the digital ads channel, which together and separately contribute to the polarization of voters and consequently the polarization of parties. First, AI-driven recommendations aimed at maximizing user engagement on platforms create echo chambers (or “filter bubbles”) that increase the likelihood that individuals are not confronted with counter-attitudinal content. Consequently, social media engagement makes voters more polarized, and then parties respond by becoming more polarized themselves. Second, we show that party competition can encourage platforms to rely more on targeted digital ads for monetization (as opposed to a subscription-based business model), and such ads in turn make the electorate more polarized, further contributing to the polarization of parties. These effects do not arise when one party is dominant, in which case the profit-maximizing business model of the platform is subscription-based. We discuss the impact regulations can have on the polarizing effects of AI-powered online platforms. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

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  • The possibility to quickly create increasingly trustworthy deepfakes interacts with the global reach of world-famous platforms, such as those owned by Meta, which have occasionally contributed to political misinformation and disinformation dynamics.

    “The possibility to quickly create increasingly trustworthy deepfakes interacts with the global reach of world-famous platforms, such as those owned by Meta, which have occasionally contributed to political misinformation and disinformation dynamics (Acemoglu et al., 2025).”

    From Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project (2026) · cites this paper as Acemoglu et al., 2025

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Research works printed but not linked: 42

  1. Acemoglu, Daron, Georgy Egorov, and Konstantin Sonin (2013), "A political theory of populism." The quarterly journal of economics, 128, 771-805.
  2. Acemoglu, Daron and Pascual Restrepo (2020), "Robots and jobs: Evidence from US labor markets." Journal of political economy, 128, 2188-2244.
  3. Baumann, Fabian, Philipp Lorenz-Spreen, Igor M Sokolov, and Michele Starnini (2020), "Modeling echo chambers and polarization dynamics in social networks." Physical Review Letters, 124, 048301.
  4. Beraja, Martin, Andrew Kao, David Y Yang, and Noam Yuchtman (2023), "Ai-tocracy." The Quarterly Journal of Economics, 138, 1349-1402.
  5. Beraja, Martin, David Y Yang, and Noam Yuchtman (2023), "Data-intensive innovation and the state: evidence from ai firms in china." The Review of Economic Studies, 90, 1701-1723.
  6. Berman, Sheri (2021), "The causes of populism in the west." Annual Review of Political Science, 24, 71-88.
  7. Braghieri, Luca, Sarah Eichmeyer, Ro'ee Levy, Markus M Mobius, Jacob Steinhardt, and Ruiqi Zhong (2024), "Level slant and polarization of news consumption on social media." Available at SSRN 4932600.
  8. Brown, Megan A, James Bisbee, Angela Lai, Richard Bonneau, Jonathan Nagler, and Joshua A Tucker (2022), "Echo chambers, rabbit holes, and algorithmic bias: How youtube recommends content to real users." Available at SSRN 4114905.
  9. Butters, Gerard R. (1977), "Equilibrium distributions of sales and advertising prices." Review of Economic Studies, 44, 465-491.
  10. Callander, Steven and Juan Carlos Carbajal (2022), "Cause and effect in political polarization: A dynamic analysis." Journal of Political Economy, 130, 825-880.
  11. Carroll, Micah, Alan Chan, Henry Ashton, and David Krueger (2023), "Characterizing manipulation from ai systems." In Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 1-13.
  12. Coughlin, Peter J (1992), Probabilistic voting theory. Cambridge University Press.
  13. Dixit, Avinash K and Jörgen W Weibull (2007), "Political polarization." Proceedings of the National Academy of sciences, 104, 7351-7356.
  14. Dold, Albrecht (2012), Lectures on algebraic topology, volume 200. Springer Science & Business Media.
  15. Downs, Anthony (1957), "An economic theory of political action in a democracy." Journal of political economy, 65, 135-150.
  16. Gabriel, Saadia, Liang Lyu, James Siderius, Marzyeh Ghassemi, Jacob Andreas, and Asu Ozdaglar (2024), "Misinfoeval: Generative ai in the era of" alternative facts"." arXiv preprint arXiv:2410.09949. · arXiv
  17. Gallego, Aina and Thomas Kurer (2022), "Automation, digitalization, and artificial intelligence in the workplace: implications for political behavior." Annual Review of Political Science, 25, 463-484.
  18. Glaeser, Edward L (2005), "The political economy of hatred." The Quarterly Journal of Economics, 120, 45-86.
  19. Golub, Benjamin and Matthew O Jackson (2010), "Naive learning in social networks and the wisdom of crowds." American Economic Journal: Microeconomics, 2, 112-149.
  20. Gupta, Aastha (2023), "Deceptive advertising, regulation and naive consumers." International Journal of Industrial Organization, 91, 103026.
  21. Guriev, Sergei and Elias Papaioannou (2022), "The political economy of populism." Journal of Economic Literature, 60, 753-832.
  22. Hotelling, Habold (1929), "Stability in competition." The economic journal, 39, 41-57.
  23. Hristakieva, Kristina, Stefano Cresci, Giovanni Da San Martino, Mauro Conti, and Preslav Nakov (2022), "The spread of propaganda by coordinated communities on social media." In Proceedings of the 14th ACM Web Science Conference 2022, 191-201.
  24. Hudders, Liselot, Eva A Van Reijmersdal, and Karolien Poels (2019), "Digital advertising and consumer empowerment." Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 13.
  25. Levy, Ro'ee (2021), "Social media, news consumption, and polarization: Evidence from a field experiment." American economic review, 111, 831-870.
  26. Lewandowsky, Stephan, Ullrich KH Ecker, and John Cook (2017), "Beyond misinformation: Understanding and coping with the "post-truth" era." Journal of applied research in memory and cognition, 6, 353-369.
  27. Lindbeck, Assar and Jörgen W Weibull (1993), "A model of political equilibrium in a representative democracy." Journal of public Economics, 51, 195-209.
  28. Lu, Zhuoran, Patrick Li, Weilong Wang, and Ming Yin (2022), "The effects of ai-based credibility indicators on the detection and spread of misinformation under social influence." Proceedings of the ACM on Human-Computer Interaction, 6, 1-27.
  29. Mas-Colell, Andreu, Michael Dennis Whinston, Jerry R Green, et al. (1995), Microeconomic theory, volume 1. Oxford university press New York.
  30. Meurer, Michael and Dale O. Stahl (1994), "Informative advertising and product match." International Journal of Industrial Organization, 12, 1-19.
  31. Milgrom, Paul and Chris Shannon (1994), "Monotone comparative statics." Econometrica: Journal of the Econometric Society, 157-180.
  32. Molina, Carlos Molina (2024), Essays on Political Economy. Ph.D. thesis, Massachusetts Institute of Technology.
  33. Nyhan, Brendan (2020), "Facts and myths about misperceptions." Journal of Economic Perspectives, 34, 220-236.
  34. Ott, William and James Yorke (2005), "Prevalence." Bulletin of the American Mathematical Society, 42, 263-290.
  35. O'Callaghan, Derek, Derek Greene, Maura Conway, Joe Carthy, and Pádraig Cunningham (2015), "Down the (white) rabbit hole: The extreme right and online recommender systems." Social Science Computer Review, 33, 459-478.
  36. Quinn, Kevin M, Andrew D Martin, and Andrew B Whitford (1999), "Voter choice in multi-party democracies: a test of competing theories and models." American Journal of Political Science, 1231- 1247.
  37. Ross Arguedas, Amy, Craig Robertson, Richard Fletcher, and Rasmus Nielsen (2022), "Echo chambers, filter bubbles, and polarisation: A literature review." Reuters Institute for the Study of Journalism.
  38. Suarez-Lledo, Victor and Javier Alvarez-Galvez (2021), "Prevalence of health misinformation on social media: systematic review." Journal of medical Internet research, 23, e17187.
  39. Sunstein, Cass (2018), # Republic: Divided democracy in the age of social media. Princeton university press.
  40. Topkis, Donald M (1998), Supermodularity and complementarity. Princeton university press.
  41. Tucker, Joshua A, Andrew Guess, Pablo Barberá, Cristian Vaccari, Alexandra Siegel, Sergey Sanovich, Denis Stukal, and Brendan Nyhan (2018), "Social media, political polarization, and political disinformation: A review of the scientific literature." Political polarization, and political disinformation: a review of the scientific literature (March 19, 2018).
  42. Veerasamy, Namosha and Heloise Pieterse (2022), "Rising above misinformation and deepfakes." In International Conference on Cyber Warfare and Security, volume 17, 340-348.

Authors
Acemoglu, D., Ozdaglar, A., & Siderius, J.
Affiliations
  • Massachusetts Institute of Technology (US)
  • Dartmouth College (US)
Venue
National Bureau of Economic Research
Published
2025-06
OpenAlex
W4411333973
Cited by
9
References
6
Citations by year
2026: 7 · 2022: 2
Type
report
Language
en
Open access
Locations
  • National Bureau of Economic Research (publishedVersion)
  • SSRN Electronic Journal (acceptedVersion)
Topics
  • Social Sciences › Communication › Social Media and Politics
  • Social Sciences › Sociology and Political Science › Media Influence and Politics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
Keywords
artificial intelligence, social networking sites, political polarization, echo chambers, filter bubbles, recommendation algorithms, platform business models, party competition, platform regulation

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