Online rumors during the COVID-19 pandemic: co-evolution of themes and emotions
Chao Shen,
Zhenyu Song,
Pengyu He
et al.
Abstract:IntroductionDuring public health emergencies, online rumors spread widely on social media, causing public information anxiety and emotional fluctuations. Analyzing the co-evolution patterns of online rumor themes and emotions is essential for implementing proactive and precise governance of online rumors during such events.MethodsRumor texts from mainstream fact-checking platforms during the COVID-19 pandemic were collected and analyzed in phases based on the crisis lifecycle theory. The LDA topic model was ap… Show more
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