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Dynamic Topic Modeling Reveals Variations in Online Hate Narratives.

, , , and . SAI (2), volume 507 of Lecture Notes in Networks and Systems, page 564-578. Springer, (2022)

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Covid-19 infodemic reveals new tipping point epidemiology and a revised R formula., , , , , , , , , and 1 other author(s). CoRR, (2020)Dynamic Topic Modeling Reveals Variations in Online Hate Narratives., , , and . SAI (2), volume 507 of Lecture Notes in Networks and Systems, page 564-578. Springer, (2022)Quantifying COVID-19 Content in the Online Health Opinion War Using Machine Learning., , , , , , , and . IEEE Access, (2020)Dynamic Latent Dirichlet Allocation Tracks Evolution of Online Hate Topics., , , , and . Adv. Artif. Intell. Mach. Learn., 2 (1): 257-272 (2022)Hidden order in online extremism and its disruption by nudging collective chemistry., , , , , , , and . CoRR, (2020)Machine Learning Language Models: Achilles Heel for Social Media Platforms and a Possible Solution., , , , and . Adv. Artif. Intell. Mach. Learn., 1 (3): 191-202 (2021)How Social Media Machinery Pulled Mainstream Parenting Communities Closer to Extremes and Their Misinformation During Covid-19., , , , , and . IEEE Access, (2022)Mainstreaming of conspiracy theories and misinformation., , , , , , , and . CoRR, (2021)