GW Today
As the election approaches, GW researchers detailed how major events strengthen global hate networks online and incite new content around hot-button issues.
How a U.S. election strengthened the global hate network
Springer-Nature “Behind the Paper”
The most detailed mapping of structure and content across the multi-platform online world reveals how the most recent U.S. presidential election reinforced online hate and extremism
Presidential Elections Unite Online Hate Groups
Mirage News
A new study published today details the ways in which the 2020 U.S. election not only incited new hate content in online communities but also how it brought those communities closer together around online hate speech.
U.S. officials sound alarm about election misinformation
DC News Now
U.S. officials are sounding the alarm over election misinformation online. They’re warning of foreign actors trying to sow discord with fake videos and images.
Behind The Screen: How Bots Are Quietly Shaping The Digital World
Forbes
It began with just one post. Late one night, I was scrolling through my social media feed, and something caught my eye. You know that feeling when something doesn’t sit quite right, like an image in a puzzle that doesn’t fit.
Bad Actor AI and Defending the Online Battlefield with Prof Neil Johnson
Paradigm Podcast
Neil Johnson is a professor of physics at George Washington University. He heads up the Dynamic Online Networks Lab, which combines modern data science with cross-disciplinary fundamental research to tackle problems such as the spread of online misinformation, and the impact of bad-actor generative AI tools in online battlefields.
Neil is a Fellow of the American Physical Society (APS), was former Research Fellow at the University of Cambridge, and Professor of Physics at the University of Oxford. His published books include Financial Market Complexity, and Simply Complexity: A Clear Guide to Complexity Theory.
‘A lack of trust’: How deepfakes and AI could rattle the US elections
Al Jazeera
At least 20 states have passed regulations against election deepfakes, but federal action remains stalled.
How can physics help solve real world problems? – NEIL JOHNSON, Head of Dynamic Online Networks Lab
Education, The Creative Process Podcast
How can physics help solve messy, real world problems? How can we embrace the possibilities of AI while limiting existential risk and abuse by bad actors?
Neil Johnson is a physics professor at George Washington University. His new initiative in Complexity and Data Science at the Dynamic Online Networks Lab combines cross-disciplinary fundamental research with data science to attack complex real-world problems. His research interests lie in the broad area of Complex Systems and ‘many-body’ out-of-equilibrium systems of collections of objects, ranging from crowds of particles to crowds of people and from environments as distinct as quantum information processing in nanostructures to the online world of collective behavior on social media.
Online hate stems from small platforms, researchers find
GW Hatchet
Researchers found online hate develops on smaller social media platforms instead of mainstream ones in a study published earlier this month.
Shockwaves Link (Anti)Social Behavior Across the Internet
Springer-Nature “Behind the Paper”
A first-of-its kind network map of the online hate ecosystem provides new insight into decentralized behavior during January 6, 2021, and its implications for 2024 and beyond