User agency-based versus machine agency-based misinformation interventions: The effects of commenting and AI fact-checking labeling on attitudes toward the COVID-19 vaccinationopen access
- Authors
- Lee, J[Lee, Jiyoung]; Bissell, K[Bissell, Kim]
- Issue Date
- 18-Apr-2023
- Publisher
- SAGE PUBLICATIONS LTD
- Keywords
- AI fact-checking label; commenting; COVID-19 vaccine misinformation; online experiment; vaccine attitudes
- Citation
- NEW MEDIA & SOCIETY
- Indexed
- SSCI
SCOPUS
- Journal Title
- NEW MEDIA & SOCIETY
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/103194
- DOI
- 10.1177/14614448231163228
- ISSN
- 1461-4448
- Abstract
- This study aimed to examine the effects of commenting on a Facebook misinformation post by comparing a user agency-based intervention and machine agency-based intervention in the form of artificial intelligence (AI) fact-checking labeling on attitudes toward the COVID-19 vaccination. We found that both interventions were effective at promoting positive attitudes toward vaccination compared to the misinformation-only condition. However, the intervention effects manifested differently depending on participants' residential locations, such that the commenting intervention emerged as a promising tool for suburban participants. The effectiveness of the AI fact-checking labeling intervention was pronounced for urban populations. Neither of the fact-checking interventions showed salient effects with the rural population. These findings suggest that although user agency- and machine agency-based interventions might have potential against misinformation, these interventions should be developed in a more sophisticated way to address the unequal effects among populations in different geographic locations.
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- Appears in
Collections - Social Sciences > Media & Communication > 1. Journal Articles
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