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People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation--A Comparison Between COVID and General Narratives on Twitter

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arxiv 2012.02164 v3 pith:2R5ADGUT submitted 2020-12-03 cs.SI cs.CYcs.LG

classification cs.SIcs.CYcs.LG
keywords misinformationfactualtweetscontentengagementfactsfeaturesheavily
verification ladder T0 review T1 audit T2 compute T3 formal

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Misinformation entails the dissemination of falsehoods that leads to the slow fracturing of society via decreased trust in democratic processes, institutions, and science. The public has grown aware of the role of social media as a superspreader of untrustworthy information, where even pandemics have not been immune. In this paper, we focus on COVID-19 misinformation and examine a subset of 2.1M tweets to understand misinformation as a function of engagement, tweet content (COVID-19- vs. non-COVID-19-related), and veracity (misleading or factual). Using correlation analysis, we show the most relevant feature subsets among over 126 features that most heavily correlate with misinformation or facts. We found that (i) factual tweets, regardless of whether COVID-related, were more engaging than misinformation tweets; and (ii) features that most heavily correlated with engagement varied depending on the veracity and content of the tweet.

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  1. The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing

    cs.SI 2025-04 conditional novelty 5.0 of 10

    Rewritten Reddit titles for shared YouTube videos are associated with higher engagement, especially when they are longer, emotionally charged, and matched to community norms.

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