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Research Article

Algorithmic Inoculation Against Misinformation: How to Build Cognitive Immunity Against Misinformation

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References

  • Ahluwalia, R., Unnava, H., & Burnkrant, R. (2001). The moderating role of commitment on the spillover effect of marketing communications. Journal of Marketing Research, 38(4), 458–470. https://doi.org/10.1509/jmkr.38.4.458.18903
  • Ali, K., Li, C., Zain-Ul-Abdin, K., & Zaffar, M. (2022). Fake news on Facebook. Internet Research, 32(1), 379–397. https://doi.org/10.1108/INTR-10-2019-0442
  • Amazeen, M., & Bucy, E. (2019). Conferring resistance to digital disinformation. Journal of Broadcasting & Electronic Media, 63(3), 415–432. https://doi.org/10.1080/08838151.2019.1653101
  • Barnoy, A., & Reich, Z. (2022). Trusting others: A pareto distribution of source and message credibility among news reporters. Communication Research, 49(2), 196–220. https://doi.org/10.1177/0093650220911814
  • Basol, M., Roozenbeek, J., Berriche, M., Uenal, F., McClanahan, W., & Van der Linden, S. (2021). Toward psychological herd immunity. Big Data & Society, 8(1), 205395172110138. https://doi.org/10.1177/20539517211013868
  • Borukhson, D., Lorenz-Spreen, P., & Ragni, M. (2022). When does an individual accept misinformation? An extended investigation through cognitive modeling. Computational Brain & Behavior, 5(2), 244–260. https://doi.org/10.1007/s42113-022-00136-3
  • Browne, R. (1995). On the use of a pilot sample for sample size determination. Statistics in Medicine, 14(17), 1933–1940. https://doi.org/10.1002/sim.4780141709
  • Chaiken, S., Giner-Sorolla, R., & Chen, S. (1996). Beyond accuracy. In P. M. Gollwitzer & J. A. Bargh (Eds.), The psychology of action: Linking cognition and motivation to behavior (pp. 553–578). Guilford Press.
  • Chen, Z., & Cheng, Y. (2023). Computing persistent homology by spanning trees and critical simplices. Internet Research, 6. https://doi.org/10.34133/research.0230
  • Compton, J., Ivanov, B. & Hester, E. (2022). Inoculation theory and affect. International Journal of Communication, 16, 3470–3483.
  • Compton, J., Linden, S., Cook, J., & Basol, M. (2021). Inoculation theory in the post-truth era. Social and Personality Psychology Compass, 15(6), e12602. https://doi.org/10.1111/spc3.12602
  • Diakopoulos, N., & Koliska, M. (2017). Algorithmic transparency in the news media. Digital Journalism, 5(7), 809–828. https://doi.org/10.1080/21670811.2016.1208053
  • Ecker, U., Lewandowsky, S., Cook, J., Schmid, P., Fazio, L. K., Brashier, N., Kendeou, P., Vraga, E. K., & Amazeen, M. A. (2022). The psychological drivers of misinformation belief and its resistance to correction. Nature Review Psychology, 1(1), 13–29. https://doi.org/10.1038/s44159-021-00006-y
  • Feezell, J., Wagner, J., & Conroy, M. (2021). Exploring the effects of algorithm-driven news sources on political behavior and polarization. Computers in Human Behavior, 116, 106626. https://doi.org/10.1016/j.chb.2020.106626
  • Gran, A., Booth, P., & Bucher, T. (2021). To be or not to be algorithm aware. Information, Communication & Society, 24(12), 1779–1796. https://doi.org/10.1080/1369118X.2020.1736124
  • Metzger, M., Flanagin, A., Mena, P., Jiang, S., & Wilson, C. (2021). From dark to light: The many shades of sharing misinformation online. Media and Communication, 9(1), 134–143.
  • Mhasawade, V., Zhao, Y., & Chunara, R. (2021). Machine learning and algorithmic fairness in public and population health. Nature Machine Intelligence, 3(8), 659–666. https://doi.org/10.1038/s42256-021-00373-4
  • Molina, M., & Sundar, S. (2023). Does distrust in humans predict greater trust in AI? New Media & Society. https://doi.org/10.1177/14614448221103534
  • Musi, E., Carmi, E., Reed, C., Yates, S., & O’Halloran, K. (2023). Developing misinformation immunity. Social Media+society. https://doi.org/10.1177/20563051221150407
  • Niu, W., Huang, L., & Chen, M. (2021). Spanning from diagnosticity to serendipity. International Journal of Information Management, 60, 102362. https://doi.org/10.1016/j.ijinfomgt.2021.102362
  • Peifer, J., & Meisinger, J. (2021). The value of explaining the process. Journalism & Mass Communication Quarterly, 98(3), 828–853. https://doi.org/10.1177/10776990211012953
  • Pennycook, G. (2023). A framework for understanding reasoning errors. Advances in Experimental Social Psychology, 67, 131–208. https://doi.org/10.1016/bs.aesp.2022.11.003
  • Roozenbeek, J., Traberg, C., & Sander, L. (2022). Technique-based inoculation against real-world misinformation. Research Society Open Science, 9(8), 211719. https://doi.org/10.1098/rsos.211719
  • Schuetz, S., Sykes, T., & Venkatesh, V. (2021). Combating COVID-19 fake news on social media through fact-checking. European Journal of Information Systems, 30(4), 376–388. https://doi.org/10.1080/0960085X.2021.1895682
  • Shin, D. (2020). User perceptions of algorithmic decisions in the personalized AI system. Journal of Broadcasting & Electronic Media, 64(4), 541–565. https://doi.org/10.1080/08838151.2020.1843357
  • Shin, D. (2023). Algorithms, humans, and interactions. Routledge. https://doi.org/10.1201/b23083
  • Shin, D., Kee, F. K., & Shin, Y. E. (2023). The nudging effect of accuracy alerts for combating the diffusion of misinformation. Journal of Broadcasting & Electronic Media, 67(2), 141–160. https://doi.org/10.1080/08838151.2023.2175830
  • Simon, F., Altay, S., & Mercier, H. (2023). Misinformation reloaded? HKS Misinformation Review, 4(5), 1–11. https://doi.org/10.37016/mr-2020-127
  • Stecula, D., Kuru, O., & Jamieson, K. (2020). How trust in experts and media use affect acceptance of common anti-vaccination claims. HKS Misinformation Review, 1(1), 1–11. https://doi.org/10.37016/mr-2020-007
  • Traberg, C., Roozenbeek, J., & Van der Linden, S. (2022). Psychological inoculation against misinformation. The ANNALS of the American Academy of Political and Social Science, 700(1), 136–151. https://doi.org/10.1177/00027162221087936
  • Vafeiadis, M., & Xiao, A. (2021). Fake news: How emotions, involvement, need for cognition and rebuttal evidence (story vs. informational) influence consumer reactions toward a targeted organization. Public Relations Review, 47(4), 102088. https://doi.org/10.1016/j.pubrev.2021.102088
  • Van der Linden, S. (2023). Foolproof: Why misinformation infects our minds and how to build immunity. W.W. Norton & Company.
  • Walter, N., & Tukachinsky, R. (2020). A meta-analytic examination of the continued influence of misinformation in the face of correction. Communication Research, 47(2), 155–177. https://doi.org/10.1177/0093650219854600
  • Zrnec, A., Pozenel, M., & Lavbic, D. (2022). Users’ ability to perceive misinformation. Information Processing & Management, 59(1), 102739. https://doi.org/10.1016/j.ipm.2021.102739

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