| Quantifying COVID-19 content in the online health opinion war using machine learning RF Sear, N Velásquez, R Leahy, NJ Restrepo, S El Oud, N Gabriel, ... Ieee Access 8, 91886-91893, 2020 | 143 | 2020 |
| Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms N Velasquez, R Leahy, NJ Restrepo, Y Lupu, R Sear, N Gabriel, OK Jha, ... Scientific Reports 11 (1), 1-8, 2021 | 53 | 2021 |
| Offline events and online hate Y Lupu, R Sear, N Velásquez, R Leahy, NJ Restrepo, B Goldberg, ... Plos one 18 (1), e0278511, 2023 | 20 | 2023 |
| How Social Media Machinery Pulled Mainstream Parenting Communities Closer to Extremes and Their Misinformation During Covid-19 NJ Restrepo, L Illari, R Leahy, RF Sear, Y Lupu, NF Johnson IEEE Access 10, 2330-2344, 2021 | 18 | 2021 |
| Hidden order across online extremist movements can be disrupted by nudging collective chemistry N Velasquez, P Manrique, R Sear, R Leahy, NJ Restrepo, L Illari, Y Lupu, ... Scientific reports 11 (1), 1-11, 2021 | 12 | 2021 |
| Covid-19 infodemic reveals new tipping point epidemiology and a revised formula NF Johnson, N Velasquez, OK Jha, H Niyazi, R Leahy, NJ Restrepo, ... arXiv preprint arXiv:2008.08513, 2020 | 6 | 2020 |
| Machine Learning Language Models: Achilles Heel for Social Media Platforms and a Possible Solution RF Sear Advances in Artificial Intelligence and Machine Learning 1 (3), 12, 2021 | 5* | 2021 |
| Hate multiverse spreads malicious COVID-19 content online beyond individual platform control. arXiv 2020 N Velásquez, R Leahy, NJ Restrepo, Y Lupu, R Sear, N Gabriel, O Jha, ... arXiv preprint arXiv:2004.00673, 0 | 5 | |
| Dynamic topic modeling reveals variations in online hate narratives R Sear, NJ Restrepo, Y Lupu, NF Johnson Intelligent Computing: Proceedings of the 2022 Computing Conference, Volume …, 2022 | 4 | 2022 |
| Machine learning reveals adaptive COVID-19 narratives in online anti-vaccination network R Sear, R Leahy, NJ Restrepo, N Johnson Proceedings of the 2021 Conference of The Computational Social Science …, 2022 | 2 | 2022 |
| Connectivity between Russian information sources and extremist communities across social media platforms R Leahy, NJ Restrepo, R Sear, NF Johnson Frontiers in Political Science, 59, 2022 | 2 | 2022 |
| Mainstreaming of conspiracy theories and misinformation NF Johnson, N Velasquez, NJ Restrepo, R Leahy, R Sear, N Gabriel, ... arXiv preprint arXiv:2102.02382, 2021 | 1 | 2021 |
| Adaptive link dynamics drive online hate networks and their mainstream influence M Zheng, RF Sear, L Illari, NJ Restrepo, NF Johnson npj Complexity 1 (1), 2, 2024 | | 2024 |
| Controlling bad-actor-artificial intelligence activity at scale across online battlefields NF Johnson, R Sear, L Illari PNAS nexus 3 (1), pgae004, 2024 | | 2024 |
| Unprecedented reach and recruitment paths for hate and extremism R Sear, NF Johnson arXiv preprint arXiv:2311.08258, 2023 | | 2023 |
| Unprecedented reach and rich online journeys drive hate and extremism globally R Sear, NF Johnson arXiv e-prints, arXiv: 2311.08258, 2023 | | 2023 |
| Controlling bad-actor-AI activity at scale across online battlefields NF Johnson, R Sear, L Illari arXiv preprint arXiv:2308.00879, 2023 | | 2023 |
| Dynamic Latent Dirichlet Allocation Tracks Evolution of Online Hate Topics. Advances in Artificial Intelligence and Machine Learning. 2022; 2 (1): 17 RF Sear Technology 24, 233-239, 2010 | | 2010 |
Yonatan LupuAssociate Professor of Political Science and International Affairs, George Washington UniversityVerified email at gwu.edu
