
Theses and Dissertations
The influence of incorrectly labelled AI-generated images on subjective feelings of truth and memory
Advisor
Soares, Julia
Committee Member
Jaeger, Allison
Committee Member
Moss, Jarrod
Date of Degree
5-16-2025
Original embargo terms
Immediate Worldwide Access
Document Type
Graduate Thesis - Open Access
Major
Psychology
Degree Name
Master of Science (M.S.)
College
College of Arts and Sciences
Department
Department of Psychology
Abstract
Artificial intelligence (AI) photo generators generated more than 15 billion images in the past year alone (Valyaeva, 2023). To subdue concerns about misinformation, many online platforms have mandated that content generated with AI be labelled as such (Bond, 2023), but the efficacy of these warning labels is largely unknown. Previous research shows that the presence of an image affects how much we trust the information we are exposed to, so we would expect these AI-generated images to influence people’s beliefs. The purpose of the present research was to examine how AI-generated warning labels influence people’s trust in claims presented with apparent AI-generated images. Three experiments investigated subjective feelings of truth (i.e., truthiness) and memory for statements presented alongside images labelled with warnings disclaiming they were “AI-generated” to determine the effect such labels and photos have on the truthiness of information.
Recommended Citation
Grubbs, Tanner McKenzie, "The influence of incorrectly labelled AI-generated images on subjective feelings of truth and memory" (2025). Theses and Dissertations. 6494.
https://scholarsjunction.msstate.edu/td/6494