Highlights
Recent research on correcting false or misleading claims finds that corrections can improve the accuracy of people’s beliefs, but their impact on engagement may depend on reaching people before a claim has already spread widely.
And research on AI-generated search results suggests that people may be less likely to visit the original sources behind AI-generated answers. As these tools become more common, health organizations may need to consider how changes in information-seeking behavior affect their ability to reach audiences and build trust.
What We’re Watching
Social Media Fact-Checks Can Reduce Belief in False Claims, But Timing Matters For Limiting Reposts
As the public navigates information environments with large volumes of conflicting information from different sources, health communicators face the challenge of understanding how and when to address false claims. A growing body of research suggests that corrections after someone has been exposed to a claim on social media can reduce belief in misinformation. At the same time, the timing of corrections may matter for limiting reposts that give false claims further spread.
In recent years, social media platforms have scaled back or changed approaches designed to limit the spread of misleading content through professional fact-checking programs and instead invested in crowd-sourced fact-checking. Though professional fact-checkers may be perceived as more credible because of their training and expertise,...
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