Correcting health misinformation through narratives (2020)

Yan Huang, Weirui Wang

The study examined the effects of message format (narrative vs. nonnarrative) and correction mechanism (social vs. algorithmic correction) in correcting e-cigarette related misinformation on social media. Two experimental studies were conducted. In study 1, correction mechanisms explicitly endorsed the message corrective (nā€‰=ā€‰235). As an explicit endorsement may reveal persuasive intent and influence narrative persuasion, Study 2 replicated the design and employed a manipulation for correction mechanism with a more implicit endorsement (nā€‰=ā€‰235). Findings generally suggest that nonnarrative correction is more effective when it is suggested by social media contacts; narrative correction may have merit when it is prompted by algorithms with explicit endorsement. Credibility evaluations and narrative transportation highlight the psychological mechanisms for understanding this interaction effect.

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