“I Resist”. A Study of Individual Attitudes Towards Generative AI in Journalism and Acts of Resistance, Risk Perceptions, Trust and Credibility

Bibliographic Data

ID22010885
AuthorsSophie Morosoli (0000-0002-4651-3819, University of Amsterdam, corresponding author), Valeria Resendez (0000-0003-3623-5728, University of Amsterdam), Laurens Naudts (0000-0002-5777-1450, Amsterdam University of Applied Sciences), Natali Helberger (0000-0003-1652-0580, Amsterdam University of Applied Sciences), Claes H De Vreese (0000-0002-4962-1698, University of Amsterdam)
Year2026
Volume14
Issue5
Pages771-790
Publication date2026-05-28
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueDigital Journalism (JOURNAL)
Journal identifiersISSN: 2167-0811 • E-ISSN: 2167-082X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/21670811.2024.2435579
OpenAlexW4406338368
LanguageEN
Citations received16
References cited46

With the growing proliferation of generative AI, discussions about the societal implications of AI, including opportunities and risks, have intensified. Ultimately, the success of initiatives to integrate (generative) AI into news production and dissemination will depend on the concerns, trust, and willingness of citizens to accept new AI-driven solutions. This study explores attitudes toward the use of AI in journalism, perceptions of generative AI, and how these factors influence trust in and credibility of information. Using a survey on a representative sample of the Dutch population (N = 1478), we analyze perceived benefits and concerns about AI and explore individual acts of resistance against the application of AI in journalism (e.g., unwillingness to pay for news that AI produces). With this study, we extend previous research on attitudes towards AI by also considering general attitudes towards generative AI, individuals’ risk perceptions towards generative AI, and policy support regarding regulating AI. More importantly, this study also investigates individual follow-up actions in the form of acts of resistance against the use of AI in journalism. The findings of this paper are particularly significant due to the rapid growth of generative AI, its integration into the news cycle, and international policy developments

Citizen journalism · Credibility · Internet privacy · Journalism · Perception · Political science · Public relations · Risk perception · Sociology · Source credibility · Computational and Text Analysis Methods · Computer Science · Ethics and Social Impacts of AI · Law · Misinformation and Its Impacts · Psychology · Social Psychology

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