The Experts below are selected from a list of 9378 Experts worldwide ranked by ideXlab platform
Neil F Johnson - One of the best experts on this subject based on the ideXlab platform.
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online hate network spreads malicious covid 19 content outside the control of individual social media platforms
Scientific Reports, 2021Co-Authors: Nicolas Velasquez, R Leahy, Johnson N Restrepo, Yonatan Lupu, Richard F Sear, Nicholas Gabriel, O K Jha, B Goldberg, Neil F JohnsonAbstract: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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hate multiverse spreads malicious covid 19 content online beyond individual platform control
arXiv: Physics and Society, 2020Co-Authors: Nicolas Velasquez, R Leahy, Yonatan Lupu, Richard F Sear, Nicholas Gabriel, O K Jha, Nicholas Johnson Restrepo, Neil F JohnsonAbstract: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.
Nicolas Velasquez - One of the best experts on this subject based on the ideXlab platform.
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online hate network spreads malicious covid 19 content outside the control of individual social media platforms
Scientific Reports, 2021Co-Authors: Nicolas Velasquez, R Leahy, Johnson N Restrepo, Yonatan Lupu, Richard F Sear, Nicholas Gabriel, O K Jha, B Goldberg, Neil F JohnsonAbstract: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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hate multiverse spreads malicious covid 19 content online beyond individual platform control
arXiv: Physics and Society, 2020Co-Authors: Nicolas Velasquez, R Leahy, Yonatan Lupu, Richard F Sear, Nicholas Gabriel, O K Jha, Nicholas Johnson Restrepo, Neil F JohnsonAbstract: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.
Corey H Basch - One of the best experts on this subject based on the ideXlab platform.
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a global pandemic in the time of viral memes covid 19 vaccine misinformation and Disinformation on tiktok
Human Vaccines & Immunotherapeutics, 2021Co-Authors: Joseph Fera, Zoe C Meleoerwin, Christie Jaime, Corey H BaschAbstract:Misinformation and Disinformation regarding COVID-19 and vaccination against it may be contributing to vaccine hesitancy. Social media outlets have reportedly made efforts to limit false informatio...
Richard F Sear - One of the best experts on this subject based on the ideXlab platform.
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online hate network spreads malicious covid 19 content outside the control of individual social media platforms
Scientific Reports, 2021Co-Authors: Nicolas Velasquez, R Leahy, Johnson N Restrepo, Yonatan Lupu, Richard F Sear, Nicholas Gabriel, O K Jha, B Goldberg, Neil F JohnsonAbstract: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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hate multiverse spreads malicious covid 19 content online beyond individual platform control
arXiv: Physics and Society, 2020Co-Authors: Nicolas Velasquez, R Leahy, Yonatan Lupu, Richard F Sear, Nicholas Gabriel, O K Jha, Nicholas Johnson Restrepo, Neil F JohnsonAbstract: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.
Yonatan Lupu - One of the best experts on this subject based on the ideXlab platform.
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online hate network spreads malicious covid 19 content outside the control of individual social media platforms
Scientific Reports, 2021Co-Authors: Nicolas Velasquez, R Leahy, Johnson N Restrepo, Yonatan Lupu, Richard F Sear, Nicholas Gabriel, O K Jha, B Goldberg, Neil F JohnsonAbstract: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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hate multiverse spreads malicious covid 19 content online beyond individual platform control
arXiv: Physics and Society, 2020Co-Authors: Nicolas Velasquez, R Leahy, Yonatan Lupu, Richard F Sear, Nicholas Gabriel, O K Jha, Nicholas Johnson Restrepo, Neil F JohnsonAbstract: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.