仇恨多元宇宙传播恶意COVID-19内容在线超出个人平台控制
Hate multiverse spreads malicious COVID-19 content online beyond individual platform control
摘要：
我们发现，恶意的COVID-19内容，包括仇恨言论、虚假信息和错误信息，利用在线仇恨的多元宇宙迅速传播，超出了任何个人社交媒体平台的控制。机器学习主题分析定量显示了在线仇恨社区如何将COVID-19武器化，主题迅速发展，内容变得越来越一致。我们的数学分析提供了一种广义形式的公共卫生R 0，预测了多宇宙范围内病毒传播的临界点，这就提出了新的政策选择，以减轻恶意COVID-19内容的全球传播，而不依赖于未来所有在线平台之间的协调。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
