journal article Open Access Jul 30, 2025

Rethinking Media Users in the Age of AI and Algorithmic Mediation

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Abstract
We have collected 16 research essays on how artificial intelligence (AI) is reshaping media, communication, and public life. The authors describe and prescribe how people respond to AI in real settings, such as journalists transitioning to algorithmic newsrooms, students utilizing ChatGPT, and policymakers searching for fairness and transparency. Across all articles, trust, ethics, and context should and could surpass AI’s technical power. We classify the essays into four groups: AI adoption and professional integration; AI governance, ethics, and societal risk; pseudo-information detection and correction; and data-science methods for opinion and behavior analysis. These essays witness emerging media transformations, hinting at how AI can coevolve with, not replace, human intelligence in everyday mediated and connected life.
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References
17
[1]
Chiu, M. M., Morakhovski, A., Wang, Z., & Kim, J. (2025). Detecting Covid-19 fake news on Twitter/X in French: Deceptive writing strategies. Media and Communication, 13, Article 9483. https://doi.org/10.17645/mac.9483 10.17645/mac.9483
[2]
Hamad, M. M., Danala, G., Jentner, W., & Ebert, D. (2025). SMART 2.0: Social media analytics and reporting tool applied to misinformation tracking. Media and Communication, 13, Article 9543. https://doi.org/10.17645/mac.9543 10.17645/mac.9543
[3]
Jon, W. (2025). Prompting creativity: Tiered approach to copyright protection for AI-generated content in the digital age. Media and Communication, 13, Article 9420. https://doi.org/10.17645/mac.9420 10.17645/mac.9420
[4]
Kim, J.-N., & Gil de Zúñiga, H. (2021). Pseudo-information, media, publics, and the failing marketplace of ideas: Theory. American Behavioral Scientist, 65(2), 163–179. https://doi.org/10.1177/000276422095060 10.1177/0002764220950606
[5]
Kim, S., & Jung, J. (2025). How generative AI went from innovation to risk: Discussions in the Korean public sphere. Media and Communication, 13, Article 9523. https://doi.org/10.17645/mac.9523 10.17645/mac.9523
[6]
Lan, D., Zhu, Y., Liu, M., & He, C. (2025). AI agency in fact-checking: Role-based machine heuristics and publics’ conspiratorial orientation. Media and Communication, 13, Article 9516. https://doi.org/10.17645/mac.9516 10.17645/mac.9516
[7]
Lee, H., Jung, C., Koo, N., Seo, S., Yoo, S., Hong, H., & Jang, Y. (2025). Who wants to try AI? Profiling AI adopters and AI‐trusting publics in South Korea. Media and Communication, 13, Article 9639. https://doi.org/10.17645/mac.9639 10.17645/mac.9639
[8]
Lee, K., Park, J., Choi, S., & Lee, C. (2025). Ideology and policy preferences in synthetic data: The potential of LLMs for public opinion analysis. Media and Communication, 13, Article 9677. https://doi.org/10.17645/mac.9677 10.17645/mac.9677
[9]
Lee, S. K., Ryu, J., Jie, Y., & Ma, D. H. (2025). Motivations and affordances of ChatGPT usage for college students’ learning. Media and Communication, 13, Article 9508. https://doi.org/10.17645/mac.9508 10.17645/mac.9508
[10]
Lovari, A., & De Rosa, F. (2025). Exploring the challenges of generative AI on public sector communication in Europe. Media and Communication, 13, Article 9644. https://doi.org/10.17645/mac.9644 10.17645/mac.9644
[11]
Oh, S., & Jung, J. (2025). Harmonizing traditional journalistic values with emerging AI technologies: A systematic review of journalists’ perception. Media and Communication, 13, Article 9495. https://doi.org/10.17645/mac.9495 10.17645/mac.9495
[12]
Oh, Y., & Park, C. (2025). Unmasking machine learning with tensor decomposition: An illustrative example for media and communication researchers. Media and Communication, 13, Article 9623. https://doi.org/10.17645/mac.9623 10.17645/mac.9623
[13]
Penh, B. (2025). AI‐powered social media for development in low‐ and middle‐income countries. Media and Communication, 13, Article 9577. https://doi.org/10.17645/mac.9577 10.17645/mac.9577
[14]
Perez, L. A., Jensen, M. L., Bessarabova, E., Talbert, N., Li, Y., & Zhu, R. (2025). Public segmentation and the impact of AI use in e-rulemaking. Media and Communication, 13, Article 9550. https://doi.org/10.17645/mac.9550 10.17645/mac.9550
[15]
Sebastião, S. P., & Dias, D. F.-M. (2025). AI transparency: A conceptual, normative, and practical frame analysis. Media and Communication, 13, Article 9419. https://doi.org/10.17645/mac.9419 10.17645/mac.9419
[16]
Tam, L., Kim, S., & Gong, Y. (2025). Support for businesses’ use of artificial intelligence: Dynamics of trust, distrust, and perceived benefits. Media and Communication, 13, Article 9534. https://doi.org/10.17645/mac.9534 10.17645/mac.9534
[17]
Yeo, S., Kim, J., Kim, J., & Ko, S. (2025). Investigating publics’ communicative action in problem solving (CAPS) through data science. Media and Communication, 13, Article 9552. https://doi.org/10.17645/mac.9552 10.17645/mac.9552
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Published
Jul 30, 2025
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13
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Jaemin Jung, Jeong-Nam Kim (2025). Rethinking Media Users in the Age of AI and Algorithmic Mediation. Media and Communication, 13. https://doi.org/10.17645/mac.10915
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