AI vs Camera Captured Photos in Media: Image origin, color, and perceived credibility

Audiences increasingly encounter news photographs that may be generated by artificial intelligence rather than captured by a camera, raising questions about how people detect and trust such images. This study examined whether viewers can distinguish between synthetic and authentic news visuals and how these perceptions shape credibility. Twenty-eight undergraduate participants viewed a series of color and black-and-white images and rated both the likely origin of each image and its credibility. Analyses showed that participants recognized artificial images better than chance, with significantly higher accuracy for color photographs. However, credibility depended mainly on what viewers believed about the image rather than on its actual origin. Images judged as artificial were rated less trustworthy, and confidence in judgment influenced credibility evaluations but did not moderate the relationship. The findings highlight how perception, rather than technical reality, drives audience trust in visual journalism and underscore the importance of transparency and contextual framing when presenting AI-generated news images.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-25
DOI
https://doi.org/10.5281/zenodo.17684063
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI vs Camera Captured Photos in Media: Image origin, color, and perceived credibility

Zenodo (CERN European Organization for Nuclear Research)
Misinformation and Its Impacts
article

AI vs Camera Captured Photos in Media: Image origin, color, and perceived credibility

article en

Abstract

Audiences increasingly encounter news photographs that may be generated by artificial intelligence rather than captured by a camera, raising questions about how people detect and trust such images. This study examined whether viewers can distinguish between synthetic and authentic news visuals and how these perceptions shape credibility. Twenty-eight undergraduate participants viewed a series of color and black-and-white images and rated both the likely origin of each image and its credibility. Analyses showed that participants recognized artificial images better than chance, with significantly higher accuracy for color photographs. However, credibility depended mainly on what viewers believed about the image rather than on its actual origin. Images judged as artificial were rated less trustworthy, and confidence in judgment influenced credibility evaluations but did not moderate the relationship. The findings highlight how perception, rather than technical reality, drives audience trust in visual journalism and underscore the importance of transparency and contextual framing when presenting AI-generated news images.

Zenodo (CERN European Organization for Nuclear Research)
Chengdu University (CN)
Openalex Percentile: Top 32%
Misinformation and Its Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.