AI-generated images may unexpectedly boost trust in reliable news sources
A new study has explored how AI-generated images affect trust in news and reader behaviour. Researchers worked with Süddeutsche Zeitung (SZ), one of Germany's largest newspapers, to test reactions to real and AI-created content. The findings suggest that exposure to AI misinformation may have unexpected effects on media engagement. The study involved 17,000 SZ readers who were shown a mix of genuine and AI-generated images. They were then asked to identify which were fake and complete a quiz. After this, participants rated their trust in SZ and other media outlets.
The research was a joint effort by Carnegie Mellon University, Johns Hopkins University, the National University of Singapore, and SZ's digital media team. Their goal was to understand how AI-powered misinformation interacts with trust and media consumption. Results showed that readers who encountered AI-generated images became more engaged with reliable news. They visited SZ's content more often and retained information better. Subscribers who learned about AI fakes also had a 1.1% higher retention rate after five months. The study comes at a time when trust in news has declined, partly due to the spread of misinformation on social media. Generative AI has made it easier to create convincing fake content, raising concerns about its impact on public trust.
The findings highlight a complex relationship between AI misinformation and media habits. While exposure to fake content may reduce trust, it also appears to push readers toward more reliable sources. The study provides concrete data on how news organisations might adapt to the challenges of AI-driven disinformation.
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