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Adam Berinsky: Political Misinformation in the Modern Day. (2019, February 15). https://shorensteincenter.org/adam-berinsky-political-misinformation-modern-day/
Arechar, A. A., Allen, J. N. L., Berinsky, A., Cole, R., Epstein, Z., Garimella, K., Gully, A., Lu, J. G., Ross, R. M., Stagnaro, M., Zhang, J., Pennycook, G., & Rand, D. (2022). Understanding and Reducing Online Misinformation Across 16 Countries on Six Continents. PsyArXiv. https://doi.org/10.31234/osf.io/a9frz
Bago, B., Rand, D. G., & Pennycook, G. (2020). Fake news, fast and slow: Deliberation reduces belief in false (but not true) news headlines. Journal of Experimental Psychology: General, 149(8), 1608–1613. https://doi.org/10.1037/xge0000729
Berinsky, A. J. (2023). Political Rumors: Why We Accept Misinformation and How to Fight It (First edition.). Princeton University Press.
Brashier, N. M., Pennycook, G., Berinsky, A. J., & Rand, D. G. (2021). Timing matters when correcting fake news. Proceedings of the National Academy of Sciences, 118(5), https://www.pnas.org/doi/pdf/10.1073/pnas.2020043118
Bronstein, M. V., Pennycook, G., Bear, A., Rand, D. G., & Cannon, T. D. (2019). Belief in fake news is associated with delusionality, dogmatism, religious fundamentalism, and reduced analytic thinking. Journal of Applied Research in Memory and Cognition, 8(1), 108–117. https://dspace.mit.edu/bitstream/handle/1721.1/135512/SSRN-id3172140.pdf?sequence=2&isAllowed=y
DeVerna, M. R., Guess, A. M., Berinsky, A. J., Tucker, J. A., & Jost, J. T. (2022). Rumors in Retweet: Ideological Asymmetry in the Failure to Correct Misinformation. Personality and Social Psychology Bulletin. https://journals-sagepub-com.libproxy.mit.edu/doi/full/10.1177/01461672221114222
DIMACS CCICADA (Director). (2022, May 27). David Karger: Empowering End Users to Make Choices on Harassment, Misinformation, Free Expression... [Video recording]. https://www.youtube.com/watch?v=Oy_URr-EaZE
Epstein, Z., Pennycook, G., & Rand, D. (2020). Will the Crowd Game the Algorithm? Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted Sources. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–11. https://doi.org/10.1145/3313831.3376232
Hsu, C.-C., Ajorlou, A., & Jadbabaie, A. (2022). Persuasion, News Sharing, and Cascades on Social Networks (SSRN Scholarly Paper 3934010). Social Science Research Network. https://doi.org/10.2139/ssrn.3934010
Jahanbakhsh, F. (2022). Our Browser Extension Lets Readers Change the Headlines on News Articles, and You Won’t Believe What They Did! Proc. ACM Hum.-Comput. Interact, 6, 33. https://people.csail.mit.edu/farnazj/pdfs/Study_of_News_Headlines__CSCW_22.pdf
Karger, D. (2022, July 27). Special Talk: Empowering Participants with Richer, more Expressive Online Discussion Platforms. https://www.cs.cmu.edu/calendar/161490056 (Note: No video or transcript, just short description of talk)
Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., Metzger, M. J., Nyhan, B., Pennycook, G., Rothschild, D., Schudson, M., Sloman, S. A., Sunstein, C. R., Thorson, E. A., Watts, D. J., & Zittrain, J. L. (2018). The science of fake news. Science, 359(6380), 1094–1096. https://scholar.harvard.edu/files/mbaum/files/science_of_fake_news.pdf
Lin, H., Pennycook, G., & Rand, D. (2022). Thinking more or thinking differently? Using drift-diffusion modeling to illuminate why accuracy prompts decrease misinformation sharing. PsyArXiv. https://psyarxiv.com/kf8md/
Mosleh, M., Martel, C., Eckles, D., & Rand, D. (2021). Perverse Downstream Consequences of Debunking: Being Corrected by Another User for Posting False Political News Increases Subsequent Sharing of Low Quality, Partisan, and Toxic Content in a Twitter Field Experiment. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1–13. https://doi.org/10.1145/3411764.3445642
Mosleh, M., & Rand, D. (2021). Falsehood in, falsehood out: A tool for measuring exposure to elite misinformation on Twitter. https://psyarxiv.com/ye3pf/download?format=pd
Pennycook, G., Epstein, Z., Mosleh, M., Arechar, A. A., Eckles, D., & Rand, D. G. (2021). Shifting attention to accuracy can reduce misinformation online. Nature, 592(7855), 590–595. https://doi.org/10.1038/s41586-021-03344-2
Rainie, L., Anderson, J., & Albright, J. (2017, March 29). The Future of Free Speech, Trolls, Anonymity and Fake News Online. Pew Research Center: Internet, Science & Tech. https://www.pewresearch.org/internet/2017/03/29/the-future-of-free-speech-trolls-anonymity-and-fake-news-online/
Sirlin, N., Epstein, Z., Arechar, A. A., & Rand, D. G. (2021). Digital literacy is associated with more discerning accuracy judgments but not sharing intentions. Harvard Kennedy School Misinformation Review. https://doi.org/10.37016/mr-2020-83
Smith, S. T., Kao, E. K., Mackin, E. D., Shah, D. C., Simek, O., & Rubin, D. B. (2021). Automatic detection of influential actors in disinformation networks. Proceedings of the National Academy of Sciences, 118(4), e2011216118. https://doi.org/10.1073/pnas.2011216118
Stanford Cyber Policy Center. (2020, July 29). Exploring Potential “Solutions” to Online Disinformation. https://www.youtube.com/watch?v=Rptg9wuOGkQ
Stewart, A. J., Arechar, A. A., Rand, D. G., & Plotkin, J. B. (2021). The coercive logic of fake news. arXiv. http://arxiv.org/abs/2108.13687
Struck, B. (2021). The Human Error Behind Fake News with David Rand [Broadcast]. Retrieved January 8, 2025, from https://thedecisionlab.com/podcasts/the-human-error-behind-fake-news-with-david-rand
Swire, B., Berinsky, A. J., Lewandowsky, S., & Ecker, U. K. H. (n.d.). Processing political misinformation: Comprehending the Trump phenomenon. Royal Society Open Science, 4(3), 160802. https://royalsocietypublishing.org/doi/full/10.1098/rsos.160802
Swire-Thompson, B., Ecker, U. K., Lewandowsky, S., & Berinsky, A. J. (2020). They might be a liar but they’re my liar: Source evaluation and the prevalence of misinformation. Political Psychology, 41(1), 21–34. https://doi.org/10.1111/pops.12586
Wang, J. Z., Zhang, A. X., & Karger, D. R. (2022). Designing for Engaging with News using Moral Framing towards Bridging Ideological Divides. Proceedings of the ACM on Human-Computer Interaction, 6(GROUP), 1–23. https://dl.acm.org/doi/pdf/10.1145/3492861
Wittenberg, C., & Berinsky, A. J. (2020). Misinformation and Its Correction. In J. A. Tucker & N. Persily (Eds.), Social Media and Democracy: The State of the Field, Prospects for Reform (pp. 163–198). Cambridge University Press. https://www.cambridge.org/core/books/social-media-and-democracy/misinformation-and-its-correction/61FA7FD743784A723BA234533012E810
Zhang, A. X., Ranganathan, A., Metz, S. E., Appling, S., Sehat, C. M., Gilmore, N., Adams, N. B., Vincent, E., Lee, J., & Robbins, M. (2018). A structured response to misinformation: Defining and annotating credibility indicators in news articles. Proceedings of the ACM on Human-Computer Interaction 2018, 603–612. https://doi.org/10.1145/3184558.3188731
The MIT Center for Advanced Virtuality has created a course that addresses misinformation both in terms of specific contemporary technological phenomena and a broader media perspective: