Concept
Misinformation Warning Labels: Twitter's Soft Moderation Effects on COVID-19 Vaccine Belief Echoes Results
- Warning tags did not have much impact on changing people’s perceptions regarding the accuracy of COVID-19 vaccine information on Twitter
- Warning covers did reduce people’s perception of the accuracy of information presented in the tweets
- Soft moderation labels were not particularly effective in changing the participants’ perceptions as they mostly used their knowledge and experience to decide whether the information presented was accurate or not
- Negative correlation between perception and warnings - participants who are not supportive of the vaccine were more likely to agree that the information included in misleading tweets is accurate and vice versa
- Participants who trust and would get the vaccine generally perceived misleading tweets as inaccurate, whereas participants against the vaccine did not view the tweets as misleading
- Democrats more likely to perceive misleading tweets as not accurate and Republicans and independents thought the tweets were somewhat accurate
- Between political affiliations, large differences between their views on the efficacy of the vaccine and personal hesitancy to get it were observed
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Updated 2021-04-29
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CSCW (Computer-supported cooperative work)
Computing Sciences