OI Canadian
A new study reveals how communities embedded in the Facebook social network were already intertwined with groups opposing science-based best practices, even before the advent of COVID-19 vaccines.
Disrupting the Highways of Hate: The Impacts of Offline Events and Deplatforming
Research presentation at the Trust & Safety Research Conference, September 2022, Stanford University: https://www.tsresearchconference.org/
Losing The Battle Over Best-Science Guidance Early In A Crisis
Verve Times
A new study reveals how Facebook communities were already intertwined with groups opposing best-science guidance long before COVID-19 vaccines
Losing the battle over best-science guidance early in a crisis
Phys.org
A new study reveals how Facebook communities were already intertwined with groups opposing best-science guidance long before COVID-19 vaccines
Losing the battle for the best scientific support in a crisis tomorrow
Aus Der Welt
A new study shows how Facebook communities were already intertwined with groups opposed to best science guidelines before COVID-19 vaccines.
Why we’re fascinated by fake news
El Pais
Several investigations identify the brain mechanisms that make us share hoaxes and a “vaccine” to prevent them
Losing the battle over best-science guidance early in a crisis: COVID-19 and beyond
Science Advances
Ensuring widespread public exposure to best-science guidance is crucial in any crisis, e.g., coronavirus disease 2019 (COVID-19), monkeypox, abortion misinformation, climate change, and beyond. We show how this battle got lost on Facebook very early during the COVID-19 pandemic and why the mainstream majority, including many parenting communities, had already moved closer to more extreme communities by the time vaccines arrived. Hidden heterogeneities in terms of who was talking and listening to whom explain why Facebook’s own promotion of best-science guidance also appears to have missed key audience segments. A simple mathematical model reproduces the exposure dynamics at the system level. Our findings could be used to tailor guidance at scale while accounting for individual diversity and to help predict tipping point behavior and system-level responses to interventions in future crises.
Lucia Illari, Nicholas J. Restrepo, Neil F. Johnson
Losing the Battle for Hearts and Minds Early in a Crisis
Newswise
New study reveals how mainstream Facebook communities were already heavily intertwined with groups opposing best-science guidance long before COVID-19 vaccines arrived.
Turning a losing battle into a winning one: Navigating and Countering the Minefield of Misinformation on Social Media
Keynote discussion panel at International Conference on Emerging Infectious Diseases (ICEID 2022) August 2022, Atlanta, GA: https://www.iceid.org/
Dynamic Topic Modeling Reveals Variations in Online Hate Narratives
Intelligent Computing
Online hate speech can precipitate and also follow real-world violence, such as the U.S. Capitol attack on January 6, 2021. However, the current volume of content and the wide variety of extremist narratives raise major challenges for social media companies in terms of tracking and mitigating the activity of hate groups and broader extremist movements. This is further complicated by the fact that hate groups and extremists can leverage multiple platforms in tandem in order to adapt and circumvent content moderation within any given platform (e.g. Facebook). We show how the computational approach of dynamic Latent Dirichlet Allocation (LDA) may be applied to analyze similarities and differences between online content that is shared across social media platforms by extremist communities, including Facebook, Gab, Telegram, and VK between January and April 2021. We also discuss characteristics revealed by unsupervised machine learning about how hate groups leverage sites to organize, recruit, and coordinate within and across such online platforms.
Richard Sear, Nicholas Johnson Restrepo, Yonatan Lupu, Neil F. Johnson