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CATEGORIES:Social Psychology Seminar Series (SPSS)
SUMMARY:Rational Belief Polarisation: A Bayesian Network M
 odel of Bias Attributions - David Young (Universit
 y of Cambridge)
DTSTART;TZID=Europe/London:20230531T150000
DTEND;TZID=Europe/London:20230531T160000
UID:TALK200116AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/200116
DESCRIPTION:It is common within politics for people to be accu
 sed of bias – and not without good reason. Many po
 litical actors are willing to say things they do n
 ot believe in order to push a particular agenda\, 
 while others are inadvertently biassed due to bias
 es in their reasoning or the information they cons
 ume. This means many of the political information 
 sources we encounter will make claims in support o
 f particular parties\, policies\, politicians and 
 ideologies irrespective of whether they are actual
 ly true. Determining who is biassed\, how they are
  biassed\, and accounting for these biases\, is cr
 ucial to ascertaining political reality. Despite t
 his\, bias has only recently begun to be studied a
 s a source characteristic. I will present a Bayesi
 an Network model of how people can infer and corre
 ct for source bias when attempting to learn politi
 cal information. I will also discuss an intriguing
  prediction of this model\, which is that people e
 xposed to testimony from two sources who consisten
 tly disagree with each other should polarise. The 
 model therefore provides a rational explanation of
  mass belief polarisation when people are exposed 
 to the same information. I present preliminary evi
 dence that this model accurately predicts belief u
 pdating\, and contributes to belief polarisation i
 n both the lab and real world.\n
LOCATION:Ground Floor Lecture Theatre\, Department of Psych
 ology\, Downing Site\, Cambridge
CONTACT:Edoardo Chidichimo
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