论文标题
How Multiverse在线传播恶意COVID-19的内容超出了个人平台控制
Hate multiverse spreads malicious COVID-19 content online beyond individual platform control
论文作者
论文摘要
我们表明，恶意COVID-19的内容，包括仇恨言论，虚假信息和错误信息，利用了在线仇恨的多元宇宙，以迅速传播超出任何个人社交媒体平台的控制。机器学习主题分析显示了在线仇恨社区如何将Covid-19武器化，主题迅速发展，内容变得越来越连贯。我们的数学分析提供了一种普遍的公共卫生R0形式，可预测多元范围内病毒传播的转化点，这建议了新的政策选择，以减轻恶意Covid-19内容的全球传播，而无需依赖所有在线平台之间的未来协调。
We show that malicious COVID-19 content, including hate speech, disinformation, and misinformation, exploits the multiverse of online hate to spread quickly beyond the control of any individual social media platform. Machine learning topic analysis shows quantitatively how online hate communities are weaponizing COVID-19, with topics evolving rapidly and content becoming increasingly coherent. Our mathematical analysis provides a generalized form of the public health R0 predicting the tipping point for multiverse-wide viral spreading, which suggests new policy options to mitigate the global spread of malicious COVID-19 content without relying on future coordination between all online platforms.
