Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms
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 m...
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Nature Portfolio
2021
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oai:doaj.org-article:6420a8c2751449b49f909b1803e4708a2021-12-02T17:23:16ZOnline hate network spreads malicious COVID-19 content outside the control of individual social media platforms10.1038/s41598-021-89467-y2045-2322https://doaj.org/article/6420a8c2751449b49f909b1803e4708a2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89467-yhttps://doaj.org/toc/2045-2322Abstract 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.N. VelásquezR. LeahyN. Johnson RestrepoY. LupuR. SearN. GabrielO. K. JhaB. GoldbergN. F. JohnsonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021) |
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Medicine R Science Q N. Velásquez R. Leahy N. Johnson Restrepo Y. Lupu R. Sear N. Gabriel O. K. Jha B. Goldberg N. F. Johnson Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms |
description |
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. |
format |
article |
author |
N. Velásquez R. Leahy N. Johnson Restrepo Y. Lupu R. Sear N. Gabriel O. K. Jha B. Goldberg N. F. Johnson |
author_facet |
N. Velásquez R. Leahy N. Johnson Restrepo Y. Lupu R. Sear N. Gabriel O. K. Jha B. Goldberg N. F. Johnson |
author_sort |
N. Velásquez |
title |
Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms |
title_short |
Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms |
title_full |
Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms |
title_fullStr |
Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms |
title_full_unstemmed |
Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms |
title_sort |
online hate network spreads malicious covid-19 content outside the control of individual social media platforms |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/6420a8c2751449b49f909b1803e4708a |
work_keys_str_mv |
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