Scholar Research Directory / Fake News

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 (n = 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 (n = 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.