Abstract
This paper investigates how the believability of news headlines is impacted when those news headlines are accompanied by generative AI images. We
reports on a series of in-progress experiments. The results suggest that the use of
AI images reduces the believability of news headlines, especially when those
news headlines are presented by news institutions, rather than named individuals.
The negative impact of AI images on believability does not seem to be attenuated
by warning labels which state that the images used are AI generated. These findings have implications for online news, and other application domains where believability is important.
reports on a series of in-progress experiments. The results suggest that the use of
AI images reduces the believability of news headlines, especially when those
news headlines are presented by news institutions, rather than named individuals.
The negative impact of AI images on believability does not seem to be attenuated
by warning labels which state that the images used are AI generated. These findings have implications for online news, and other application domains where believability is important.
Originalsprog | Engelsk |
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Titel | Information Systems and Neuroscience : NeuroIS Retreat 2024, Vienna, Austria |
Redaktører | Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz |
Udgivelsessted | Vienna, Austria |
Forlag | Springer |
Publikationsdato | jun. 2024 |
Sider | 26-31 |
ISBN (Trykt) | 9783031713842 |
ISBN (Elektronisk) | 9783031713859 |
Status | Udgivet - jun. 2024 |
Begivenhed | NeuroIS Retreat 2024 - Schlosshotel Wilhelminenberg, Vienna, Østrig Varighed: 9 jun. 2024 → 11 jun. 2024 Konferencens nummer: 16 http://www.neurois.org/neurois-retreat-2024/ |
Konference
Konference | NeuroIS Retreat 2024 |
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Nummer | 16 |
Lokation | Schlosshotel Wilhelminenberg |
Land/Område | Østrig |
By | Vienna |
Periode | 09/06/2024 → 11/06/2024 |
Internetadresse |
Navn | Lecture Notes in Information Systems and Organisation |
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ISSN | 2195-4968 |
Emneord
- Generative AI
- Images
- Fake news
- Experiment