Nicholas Johnson Restrepo

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Social Media Platforms

Latent Topic Model

Top Venues

Adv. Artif. Intell. Mach. Learn.

Publications

Lucia Illari, Nicholas Johnson Restrepo, Neil F. Johnson
Complexity of the Online Distrust Ecosystem and its Evolution. CoRR (2023)
Nicholas Johnson Restrepo, Lucia Illari, Rhys Leahy, Richard F. Sear, Yonatan Lupu, Neil F. Johnson
How Social Media Machinery Pulled Mainstream Parenting Communities Closer to Extremes and Their Misinformation During Covid-19. IEEE Access 10 (2022)
Richard F. Sear, Nicholas Johnson Restrepo, Yonatan Lupu, Neil F. Johnson
Dynamic Topic Modeling Reveals Variations in Online Hate Narratives. SAI (2) (2022)
Richard F. Sear, Rhys Leahy, Nicholas Johnson Restrepo, Yonatan Lupu, Neil F. Johnson
Dynamic Latent Dirichlet Allocation Tracks Evolution of Online Hate Topics. Adv. Artif. Intell. Mach. Learn. 2 (1) (2022)
Richard F. Sear, Rhys Leahy, Nicholas Johnson Restrepo, Yonatan Lupu, Neil F. Johnson
Machine Learning Language Models: Achilles Heel for Social Media Platforms and a Possible Solution. Adv. Artif. Intell. Mach. Learn. 1 (3) (2021)
Neil F. Johnson, Nicolas Velasquez, Nicholas Johnson Restrepo, Rhys Leahy, Richard F. Sear, Nicholas Gabriel, H. Larson, Yonatan Lupu
Mainstreaming of conspiracy theories and misinformation. CoRR (2021)
Neil F. Johnson, Nicolas Velasquez, Pedro D. Manrique, Richard F. Sear, Rhys Leahy, Nicholas Johnson Restrepo, Lucia Illari, Yonatan Lupu
Hidden order in online extremism and its disruption by nudging collective chemistry. CoRR (2020)
Neil F. Johnson, Nicolas Velasquez, O. K. Jha, H. Niyazi, Rhys Leahy, Nicholas Johnson Restrepo, Richard F. Sear, Pedro D. Manrique, Yonatan Lupu, P. Devkota, S. Wuchty
Covid-19 infodemic reveals new tipping point epidemiology and a revised R formula. CoRR (2020)
Richard F. Sear, Nicolas Velasquez, Rhys Leahy, Nicholas Johnson Restrepo, Sara Maria El-Oud, Nicholas Gabriel, Yonatan Lupu, Neil F. Johnson
Quantifying COVID-19 Content in the Online Health Opinion War Using Machine Learning. IEEE Access 8 (2020)