EconPapers    
Economics at your fingertips  
 

Pictures or It didn’t Happen! How the Use of the Generative AI Images Impacts the Perceived Believability of News Headlines

Lotte Lie Duestad (), Hanne Celine Foss (), Jeno Toth () and Rob Gleasure ()
Additional contact information
Lotte Lie Duestad: Copenhagen Business School
Hanne Celine Foss: Copenhagen Business School
Jeno Toth: Copenhagen Business School
Rob Gleasure: Copenhagen Business School

A chapter in Information Systems and Neuroscience, 2025, pp 29-35 from Springer

Abstract: 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.

Keywords: Generative AI; Images; Fake news; Experiment (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-71385-9_4

Ordering information: This item can be ordered from
http://www.springer.com/9783031713859

DOI: 10.1007/978-3-031-71385-9_4

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:lnichp:978-3-031-71385-9_4