The Capability to Identify AI-Generated Images
The Capability to Identify AI-Generated Images
Author(s): Péter BÁNYÁSZ, Ákos ORBÓK, Sándor MAGYAR, Rebeka TÓTH, Kincső Boróka BÁNYÁSZ-VÁCZI, Ágnes Veszelszki, Gábor KOVÁCSSubject(s): Media studies, Security and defense, ICT Information and Communications Technologies
Published by: ESSACHESS
Keywords: generative Artificial Intelligence; survey; media literacy; cybersecurity education; critical thinking;
Summary/Abstract: Social media profoundly influences modern society, offering both opportunities and risks for communication. This paper examines the ability to identify AI-generated images through an online survey, investigating factors that affect participants' discernment between authentic photographs and AI-generated images. The findings highlight perceptual biases linked to generative AI technology, impacting perceptions of authenticity. The findings emphasize the importance of promoting media literacy and visual critical thinking, particularly regarding generative AI, as a key strategy in combating disinformation.
Journal: ESSACHESS - Journal for Communication Studies
- Issue Year: 18/2025
- Issue No: 2(36)
- Page Range: 165-191
- Page Count: 27
- Language: English
