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SUMMARY:Analyzing Political Polarization in Twitter
DTSTART:20180903T100000
DTEND:20180903T120000
DTSTAMP:20260502T060617Z
UID:5976958d86ad8012d274fb47aab2050511b0a210c8fa2838b51237a2
CATEGORIES:Conferences - Seminars
DESCRIPTION:Elmas Tugrulcan\nEDIC candidacy exam (retake)\nExam president:
  Prof. Robert West\nThesis advisor: Prof. Karl Aberer\nCo-examiner: Prof. 
 Pierre Dillenbourg\n\nAbstract\nThe cognitive dissonance phenomena states 
 that people feel a mental discomfort when they are exposed to information 
 that challenges their prior beliefs. This causes homophily which is social
 izing with people of same beliefs\, and selective exposure\, which is choo
 sing information sources that confirms one's prior beliefs. Those in turn 
 render people grow too confident of their political beliefs and take their
  political attitudes to extreme\, which leads to phenomena called "Polariz
 ation". Today there is a raising concern that Twitter may lead to more pol
 arization due to its features that enhances such homophily and selective e
 xposure. There is an ongoing research to assess the polarization in Twitte
 r and how to reduce it.\n\nIn this report\, we will first analyze a classi
 c paper that demonstrates the polarization in Twitter. We will then procee
 d by a work that asses polarity of users and news based on social ties and
  offers solution to reduce polarization. Lastly\, we will analyze a paper 
 that argues the news that are previously assumed to be polarized have very
  small absolute difference in bias except for special cases. In our resear
 ch propose we will propose to extend assessment of polarity by taking thes
 e cases into account and argue how could we use these cases to reduce pola
 rization by decreasing information overload.\n\nBackground papers\nPolitic
 al Polarization on Twitter\, by Conover et al.\nJoint Non-negative Matrix 
 Factorization for Learning Ideological Leaning on Twitter\, by Lahoti et a
 l.\nFair and Balanced? Quantifying Media Bias through Crowdsourced Content
  Analysis\, by Budak et al.\n\n 
LOCATION:BC 03 https://plan.epfl.ch/?room==BC%2003
STATUS:CONFIRMED
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