Generative AI and News Consumption: Design Fictions and Critical Analysis

要旨

The emergence of Generative AI features in news applications may radically change news consumption and challenge journalistic practices. To explore the future potentials and risks of this understudied area, we created six design fictions depicting scenarios such as virtual companions delivering news summaries to the user, AI providing context to news topics, and content being transformed into other formats on demand. The fictions, discussed with a multi-disciplinary group of experts, enabled a critical examination of the diverse ethical, societal, and journalistic implications of AI shaping this everyday activity. The discussions raised several concerns, suggesting that such consumer-oriented AI applications can clash with journalistic values and processes. These include fears that neither consumers nor AI could successfully balance engagement, objectivity, and truth, leading to growing detachment from shared understanding. We offer critical insights into the potential long-term effects to guide design efforts in this emerging application area of GenAI.

著者
Joel Kiskola
Tampere University, Tampere, Finland
Henrik Rydenfelt
University of Helsinki, Helsinki, Finland
Thomas Olsson
Tampere University, Tampere, Finland
Lauri Haapanen
University of Jyväskylä, Jyväskylä, Finland
Noora Vänttinen
Aalto University, Helsinki, Finland
Matti Nelimarkka
University of Helsinki, Helsinki, Finland
Minna Vigren
Lappeenranta-Lahti University of Technology, Lappeenranta, Finland
Salla-Maaria Laaksonen
University of Helsinki, Helsinki, Finland
Tuukka Lehtiniemi
University of Helsinki, Helsinki, Finland
DOI

10.1145/3706598.3713804

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713804

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Decision Making and Analysis

G414+G415
6 件の発表
2025-04-30 20:10:00
2025-04-30 21:40:00
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