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SUMMARY:Quantifying and Reducing Polarization on Social media
DTSTART:20170608T090000
DTEND:20170608T103000
DTSTAMP:20260508T213113Z
UID:85fb1a578e168a83d509a0ee1a8a0cd8f6bd4c3a152a837d738c0693
CATEGORIES:Conferences - Seminars
DESCRIPTION:Kiran Garimella\nSocial media has brought a revolution on how 
 people get exposed to information and how they are consuming news. Beyond 
 the undoubtedly large number of advantages and capabilities brought by soc
 ial-media platforms\, a point of criticism has been the creation of filter
  bubbles or echo chambers\, caused by social homophily as well as by algor
 ithmic personalisation and recommendation in content delivery. In this tal
 k\, I will present the methods we developed to (i) detect and quantify the
  existence of polarization on social media\, (ii) monitor the evolution of
  polarisation over time\, and finally\, (iii) devise methods to overcome t
 he effects caused by increased polarization. We build on top of existing s
 tudies and ideas from social science with principles from graph theory to 
 design algorithms which are language independent\, domain agnostic and sca
 lable to large number of users.\n\nKiran Garimella is a PhD student at Aa
 lto University. His research focuses on identifying and combating polariz
 ation on social media. In general he is interested in making use of large 
 public datasets to understand human behaviour. Prior to starting his PhD\,
  he worked as a Research Engineer at Yahoo Research\, QCRI and as an inte
 rn at Carnegie Mellon University\, LinkedIn and Amazon. His work on polari
 zation on social media received the best student paper award at WSDM’17 
 and a best paper nomination at Webscience 2017.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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