误传
2019年冠状病毒病(COVID-19)
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
2019-20冠状病毒爆发
追踪
动力学(音乐)
接触追踪
病毒学
心理学
计算机科学
医学
爆发
计算机安全
传染病(医学专业)
教育学
疾病
病理
操作系统
作者
Ali Ünlü,Sophie Truong,Nitin Sawhney,Jonas Sivelä,Tuukka Tammi
标识
DOI:10.1080/1369118x.2024.2331756
摘要
This study analyzed 1,683,700 vaccine-related tweets in Finnish using FinBERT language model, Botometer, and BERTopic, from December 2019 to October 2022. A strong correlation was identified between Negative Stance towards Vaccines (NSV) and misinformation, with an upward trend over time and a significant role of malicious bot accounts. Topic modeling revealed persistent themes of vaccine skepticism and diverse misinformation themes adapting to debunking efforts. Approximately a third of tweets contained misinformation, irrespective of source reliability, leading to increased NSV. The study observed a gap in active countering of misinformation by authorities, suggesting proactive involvement by public authorities, public education for effective misinformation management and social media literacy.
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