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SUMMARY:Misinformation: Subjective beliefs\, Source credibility\, and Soci
 al Networks - Jens Koed Madsen\, London School of Economics
DTSTART:20220615T150000Z
DTEND:20220615T160000Z
UID:TALK174593@talks.cam.ac.uk
CONTACT:Cecilie Steenbuch Traberg
DESCRIPTION:Misinformation is a significant societal challenge with impact
  on health\, elections\, and more. To understand why and how misinformatio
 n spreads in society as well as gauge the impact of interventions\, we hav
 e to consider multiple factors such as cognitive functions (e.g. belief re
 vision\, cognitive biases)\, social functions (e.g. the social networks pe
 ople inhabit\, socio-cultural norms)\, and structural elements (e.g. algor
 ithms that promote information on social media\, legislation). \nAs such\,
  it is hardly surprising that several strands of research explore the impa
 ct and spread of misinformation. In this talk\, I focus on the interplay b
 etween belief revision and social structure by considering Bayesian approa
 ches to source credibility and dependencies as well as how these models un
 fold in dynamic and complex information systems. I present research on cog
 nitive models that test belief revision predictions and consider how these
  can be implemented in agent-based models to explore facets such as echo c
 hamber formation\, micro-targeting\, and inoculation.  \n	While I provide 
 some supportive evidence for the Bayesian models\, I highlight key limitat
 ions around the complications of reliability as well as consider perspecti
 ves for the construction of larger information models that integrate insig
 hts from cognitive and social psychology as well as disciplines like anthr
 opology and political science. \n
LOCATION:https://zoom.us/j/91013725662?pwd=V1VVYzJGenB2R3p5NHl3dUhaNlM1QT0
 9
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