Both AI-generated and human influencers can correct misinformation: Investigating the effectiveness of corrections for polarized and non-polarized issues

影响力营销 误传 社会化媒体 计算机科学 互联网隐私 心理学 民主 通信源 社会心理学 政治
作者
Christian von Sikorski,Pascal Merz,Raffael Heiss,Michaela Bassler,Clara Buyny,Sven Hildebrand,Christoph Streller,Evelyn Wicki
出处
期刊:Computers in Human Behavior [Elsevier BV]
卷期号:176: 108845-108845 被引量:1
标识
DOI:10.1016/j.chb.2025.108845
摘要

Misinformation in digital media environments pose a threat to democracy as it can bias beliefs, behavior, and policy. While social media influencers are often accused of contributing to the spread of misinformation, little is known about their potential role in combating it. In two pre-registered online experiments ( N = 1004), we therefore investigated for the first time whether human and AI-generated influencers can effectively correct misinformation. The results show that influencers can successfully correct misperceptions on a politically non-polarized topic (mental health). On a politically polarized topic (climate change), however, only the correction of the AI-generated influencer significantly reduced the misperceptions. Overall, the results demonstrate that influencers can support the fight against misinformation and suggest that AI-generated influencers may be particularly effective in addressing more polarized political topics. • It was investigated whether human and AI influencers can correct misinformation • Human and AI-influencers can correct misperceptions on a non-polarized topic • An AI influencer was more effective at correcting misinformation on a polarized topic • Results suggest AI influencers may be key in addressing politically polarized issues • Innovative study to examine the role of influencers in combating misinformation
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