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From News Sharers to Post Viewers: How Topic Diversity and Conspiracy Theories Shape Engagement With Misinformation During a Health Crisis? (2401.08832v2)

Published 16 Jan 2024 in cs.SI and physics.soc-ph

Abstract: Engagement with misinformation on social media poses unprecedented threats to societal well-being, particularly during health crises when susceptibility to misinformation is heightened in a multi-topic context. This paper focuses on the COVID-19 pandemic and addresses a critical gap in understanding online engagement with multi-topic misinformation at two user levels: news sharers who share source news items on social media and post viewers who engage with online news posts. To this end, we conduct a comprehensive analysis of 7273 fact-checked source news claims related to COVID-19 and their associated posts on X, through the lens of topic diversity and conspiracy theories. We find that false news, particularly when accompanied by conspiracy theories, exhibits higher topic diversity than true news. At the news sharer level, false news has a longer lifetime and receives more posts on X than true news. Additionally, the integration of conspiracy theories is significantly associated with a longer lifetime for COVID-19 misinformation. However, topic diversity has no significant association with news sharer engagement in terms of news lifetime and the number of posts. At the post viewer level, contrary to the news sharer level, news posts characterized by heightened topic diversity receive more reposts, likes, and replies. Notably, post viewers tend to engage more with misinformation containing conspiracy narratives: false news posts that contain conspiracy theories, on average, receive 40.8% more reposts, 45.2% more likes, and 44.1% more replies compared to false news posts without conspiracy theories. Our findings suggest that news sharers and post viewers exhibit different engagement patterns on social media regarding topic diversity and conspiracy theories, offering valuable insights into designing targeted misinformation intervention strategies at both user levels.

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Authors (3)
  1. Yuwei Chuai (8 papers)
  2. Jichang Zhao (46 papers)
  3. Gabriele Lenzini (17 papers)
Citations (1)
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