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.
@article{arxiv.2004.00673,
title = {Hate multiverse spreads malicious COVID-19 content online beyond individual platform control},
author = {N. Velásquez and R. Leahy and N. Johnson Restrepo and Y. Lupu and R. Sear and N. Gabriel and O. Jha and B. Goldberg and N. F. Johnson},
journal= {arXiv preprint arXiv:2004.00673},
year = {2020}
}
Comments
Working paper. Feedback welcomed from the community to neiljohnson@gwu.edu