Research Square · 2020 · 18 citations · 28 references
BusinessInformation SystemsMass CommunicationSocial InfluenceSocial Media AnalyticsContent Moderation PolicyDisinformationInfluencer AnalysisMisinformation DetectionSocial MediaVirtual CommunitiesModerationModeration PoliciesPlatform Content ModerationPlatform Moderation PoliciesPlatform Spread DynamicsSocial Media PlatformsTopic Evolution AnalysisTopic Trend Analysis
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.
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Information credibility on twitter
Carlos Castillo, Marcelo Mendoza, Bárbara Poblete · 2011 · 2.5K citations
Quantifying social group evolution
Gergely Palla, Albert-Ĺaszló Barabási, Tamás Vicsek · Nature · 2007 · 1.7K citations · Full text