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Richard Sear
Richard Sear
The George Washington University, Dynamic Online Networks Lab
在 gwu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
1442020
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
602021
Offline events and online hate
Y Lupu, R Sear, N Velásquez, R Leahy, NJ Restrepo, B Goldberg, ...
Plos one 18 (1), e0278511, 2023
292023
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
202021
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
132021
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
6*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
62020
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
52022
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
42022
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
32022
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
12024
Mainstreaming of conspiracy theories and misinformation
NF Johnson, N Velasquez, NJ Restrepo, R Leahy, R Sear, N Gabriel, ...
arXiv preprint arXiv:2102.02382, 2021
12021
US Election Hardens Hate Universe
A Verma, R Sear, NF Johnson
arXiv preprint arXiv:2405.00459, 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
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