| Literature DB >> 34131158 |
N Velásquez1,2, R Leahy1,2, N Johnson Restrepo1,2, Y Lupu2,3, R Sear4, N Gabriel5, O K Jha5, B Goldberg6, N F Johnson7,8,9.
Abstract
We show that malicious COVID-19 content, including racism, disinformation, and misinformation, exploits the multiverse of online hate to spread quickly beyond the control of any individual social media platform. We provide a first mapping of the online hate network across six major social media platforms. We demonstrate how malicious content can travel across this network in ways that subvert platform moderation efforts. Machine learning topic analysis shows quantitatively how online hate communities are sharpening COVID-19 as a weapon, with topics evolving rapidly and content becoming increasingly coherent. Based on mathematical modeling, we provide predictions of how changes to content moderation policies can slow the spread of malicious content.Entities:
Year: 2021 PMID: 34131158 DOI: 10.1038/s41598-021-89467-y
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379