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Research Article

Personalization, Echo Chambers, News Literacy, and Algorithmic Literacy: A Qualitative Study of AI-Powered News App Users

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References

  • Anderson, C. W. (2011). Deliberative, agonistic, and algorithmic audiences: Journalism’s vision of its public in an age of audience transparency. International Journal of Communication, 5, 19. Retrieved from https://ijoc.org/index.php/ijoc/article/view/884/537
  • Ashley, S., Maksl, A., & Craft, S. (2013). Developing a news media literacy scale. Journalism & Mass Communication Educator, 68(1), 7–21.
  • Bastian, M., Helberger, N., & Makhortykh, M. (2021). Safeguarding the journalistic DNA: Attitudes towards the role of professional values in algorithmic news recommender designs. Digital Journalism, 9(6), 835–863.
  • Beam, M. A. (2014). Automating the news: How personalized news recommender system design choices impact news reception. Communication Research, 41(8), 1019–1041.
  • Beier, J. (2007). The effects of customization and recommendation source on reader perceptions of a news website. Unpublished master’s thesis, University of North Carolina.
  • Beier, M. (2018). Automating judgment? Algorithmic judgment, news knowledge, and journalistic professionalism. New Media & Society, 20(5), 1755–1772.
  • Bucher, T. (2018). If… then: Algorithmic power and politics. Oxford University Press.
  • Du, Y. R. (2019). Algorithmic audiences, tailored communication, and the democratic imagination: A qualitative study of an “insanely popular” news app. World Journalism Education Congress 2019, Paris, 2020. (p. 1093).
  • Du, Y. R. (2022, August). Tailored communication, information cocoons, and news literacy: A national survey of algorithmic news app users in the age of artificial intelligence. Paper presented at the AEJMC (Association for Education in Journalism and Mass Communication) Annual Convention.
  • Fleming, J. (2014). Media literacy, news literacy, or news appreciation? A case study of the news literacy program at Stony Brook university. Journalism & Mass Communication Educator, 69(2), 146–165.
  • Grandinetti, J. (2021). Examining embedded apparatuses of AI in Facebook and TikTok. Ai & Society (2021), 1–14. https://doi.org/10.1007/s00146-021-01270-5
  • Grier, S. A., & Brumbaugh, A. M. (1999). Noticing cultural differences: Ad meanings created by target and non-target markets. Journal of Advertising, 28(1), 79–93.
  • Joris, G., Grove, F. D., Van Damme, K., & De Marez, L. (2021). Appreciating news algorithms: Examining audiences’ perceptions to different news selection mechanisms. Digital Journalism, 9(5), 1–30.
  • Kalyanaraman, S., & Sundar, S. S. (2006). The psychological appeal of personalized content in web portals: Does customization affect attitudes and behavior? Journal of Communication, 56(1), 110–132.
  • Kreuter, M. W., & Skinner, C. S. (2000). Tailoring: What’s in a name? Health Education Research, 15(4), 1–4.
  • Kreuter, M. W., & Wray, R. J. (2003). Tailored and targeted health communication: Strategies for enhancing information relevance. American Journal of Health Behavior, 27(S3), S227–232.
  • Li, C., Kalyanaraman, S., & Du, Y. R. (2011). Moderating effects of collectivism on customized communication: A test with tailored and targeted messages. Asian Journal of Communication, 21(6), 575–594.
  • Logg, J. M., Minson, J. A., & Moore, D. A. (2019). Algorithm appreciation: People prefer algorithmic to human judgment. Organizational Behavior and Human Decision Processes, 151, 90–103.
  • Maksl, A., Ashley, S., & Craft, S. (2015). Measuring news media literacy. The Journal of Media Literacy Education, 6(3), 29–45.
  • Maksl, A., Craft, S., Ashley, S., & Miller, D. (2017). The usefulness of a news media literacy measure in evaluating a news literacy curriculum. Journalism & Mass Communication Educator, 72(2), 228–241.
  • Noar, S. M., Benac, C. N., & Harris, M. S. (2007). Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychological Bulletin, 133(4), 673–693.
  • Pariser, E. (2011). The filter bubble: How the new personalized web is changing what we read and how we think. Penguin.
  • Potter, W. J. (2004). Theory of media literacy: A cognitive approach. Sage Publications.
  • Potter, W. J., & Christ, W. G. (2007). Media literacy. In G. Ritzer (Ed.), The Blackwell encyclopedia of sociology (pp. 2891–2895). Blackwell.
  • Powers, E. (2017). My news feed is filtered? Awareness of news personalization among college students. Digital Journalism, 5(10), 1315–1335.
  • Raza, S., & Ding, C. (2021). News recommender system: A review of recent progress, challenges, and opportunities. Artificial Intelligence Review, 55, 749–800. doi:10.1007/s10462-021-10043-x
  • Shin, D. (2020a). Expanding the role of trust in the experience of algorithmic journalism: User sensemaking of algorithmic heuristics in Korean users. Journalism Practice, 16(6), 1–24.
  • Shin, D. (2020b). User perceptions of algorithmic decisions in the personalized AI system: Perceptual evaluation of fairness, accountability, transparency, and explainability. Journal of Broadcasting & Electronic Media, 64(4), 541–565.
  • Shin, D., Rasul, A., & Fotiadis, A. (2021). Why am I seeing this? Deconstructing algorithm literacy through the lens of users. Internet Research, 32(4), 1214–1234.
  • Shin, D., Zaid, B., Biocca, F., & Rasul, A. (2022). In platforms we trust? Unlocking the black-box of news algorithms through interpretable AI. Journal of Broadcasting & Electronic Media, 66(2), 235–256.
  • Srba, I., Moro, R., Tomlein, M., Pecher, B., Simko, J., Stefancova, E., Kompan, M., Hrckova, A., Podrouzek, J., Gavornik, A. & Bielikova, M. (2023). Auditing YouTube’s recommendation algorithm for misinformation filter bubbles. ACM Transactions on Recommender Systems, 1(1), 1–33.
  • Sunstein, C. R. (2001). Republic.com. Princeton University Press.
  • Sunstein, C. R. (2006). Infotopia: How many minds produce knowledge. Oxford University Press.
  • Sunstein, C. R. (2007). Republic 2.0. Princeton University Press.
  • Swart, J. (2021). Experiencing algorithms: How young people understand, feel about, and engage with algorithmic news selection on social media. Social Media+ Society, 7(2), 20563051211008828.
  • Thurman, N., Moeller, J., Helberger, N., & Trilling, D. (2019). My friends, editors, algorithms, and I: Examining audience attitudes to news selection. Digital Journalism, 7(4), 447–469.

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