Expert-led Debunking of Health Misinformation on TikTok

要旨

In this work, we empirically evaluated expert-led debunking of health misinformation on TikTok with n=420 survey and n=20 interview participants. Unlike fact-checkers, health professionals debunk misinformation non-anonymously through video-against-video formats (stitching/''duetting''), rather than using labels. We analyzed 5,161 such posts to select six misinformation and six debunking videos across three common topics - two general health, two mental health, and two nutrition - for statistical comparison. Participants exposed to debunking videos believed misinformation claims significantly less than those exposed to misinformation videos in all six conditions. Experts were seen as more credible than misinformation creators, except in one instance involving mental health. Thematic analysis showed that expert-led debunking succeeded because experts’ videos aligned with the Debunking Handbook method for effective refutation. Experts’ credibility is derived mainly from being perceived as non-typical influencers who maintain reputable TikTok personas by providing qualified medical evidence and advice.

著者
Filipo Sharevski
DePaul University, Chicago, Illinois, United States
Jennifer Vander Loop
Depaul University, Chicago, Illinois, United States
Amy Devine
DePaul University, Chicago, Illinois, United States
Peter Jachim
DePaul University, Chicago, Illinois, United States
Sanchari Das
George Mason University, Fairfax, Virginia, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Negotiating Health, Identity, and Belief

P1 - Room 113
7 件の発表
2026-04-14 18:00:00
2026-04-14 19:30:00