"There has been substantial research on how audiences respond to AI-generated text, but far less dedicated research on image generators. That includes the use of products like Midjourney, Adobe Firefly, and Dall-E, which has now been integrated into both ChatGPT. The release of OpenAI's Sora 2 in September has only brought renewed urgency to this question, as higher-quality AI-generated videos and ones depicting real people have flooded social media."
"For one, the researchers asked the participants about their prior experiences with AI-generated imagery. Most participants said that, to their knowledge, they had rarely seen AI-generated images published by news outlets, and said they most often encountered these images on social media platforms like Instagram and TikTok. Largely, they said they didn't know how to distinguish between real photographs and AI-generated images they saw online."
Four focus groups in October 2024 included 25 Dutch residents aged 19–50 who discussed perceptions of AI-generated images in news contexts. Participants reported rarely seeing AI-generated images in news outlets and encountering them mainly on social platforms like Instagram and TikTok. Most participants said they could not reliably distinguish AI-generated images from real photographs, relying on gut feelings, explicit AI labels, and checks for visual irregularities or 'too perfect' images. Participants judged image verification harder than verifying non-visual information and expressed concerns about realism, ethics, and misinformation, calling for clearer labeling.
Read at Nieman Lab
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