AI in Media: Two Decades of Research on Social and Epistemological Challenges
A systematic review published on arXiv examines research on implementing artificial intelligence in media over the past two decades, with an emphasis on empirical studies. The paper identifies main challenges: media outlets face increasing dependence on technological platforms while defending editorial independence. Journalists experience tension between perceived job threats and loss of symbolic capital as intermediaries, contrasted with freedom from routine tasks enabling higher-quality content. The research also indicates audiences do not yet perceive significant differences in quality and credibility. The preprint, titled "Without journalists, there is no journalism," is available on arXiv.
Key facts
- The paper is a systematic review of two decades of AI research in media.
- It focuses on empirical research.
- Main challenges for media: platform dependence and editorial independence.
- Journalists face job threat and loss of symbolic capital.
- Journalists also gain liberation from routine tasks, allowing higher quality content.
- Audiences perceive little difference in quality and credibility.
- The preprint is available on arXiv with ID 2608.17017.
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