Small
Conspiracy theories and real-world harms
We will collect and analyze data from online social networks and then develop and visualize empirical models. The spread of conspiracy theories in online social networks has become a scourge with real-world implications, including targeted hate attacks, political turbulence, the burning of 5G towers, and obstacles to healthcare measures in the COVID-19 pandemic. Prior work has focused on retrospectively characterizing conspiracy theories and hate speech on social media, along with the effects of demographic and network characteristics. Research questions: (1) Can we identify the distinguishing features of conspiracy theory narratives in social networks?; (2) Can we automatically detect emerging narratives that possess such distinguishing features?; (3) Can we visualize the evolution of conspiracy theory narratives over time?
 
Team Members
Member of the SOCKS Social Team.
SOCKS Co-PI.
Professor, UVM Mathematics and Statistics.
Member of the SOCKS Social Team.
Professor at the Santa Fe Institute.
Member of the SOCKS Social Team.
Assistant Professor of Computer Science at UVM.
Member of the SOCKS Social Team.
Assistant Professor Department of Mathematics & Statistics.
Member of the SOCKS Social Team.
SOCKS GRA.