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CATEGORIES:Cambridge Psychometrics Centre Seminars
SUMMARY:Big data for gender equality: digital records of g
 endered interests are associated with state-level 
 gender equality in the US - Youyou Wu
DTSTART;TZID=Europe/London:20150609T160000
DTEND;TZID=Europe/London:20150609T170000
UID:TALK59728AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/59728
DESCRIPTION:Gender segregation in interests\, activities\, and
  lifestyles is a ubiquitous phenomenon: girls like
  shopping\, makeup\, and Victoria Secret\; guys li
 ke games\, sports\, and Iron Maiden. In recent dec
 ades\, gendered interests and activities are incre
 asingly promoted by media\, popular culture\, and 
 consumer markets. This trend animates debates abou
 t its implications for gender equality\, particula
 rly whether it reinforces gender stereotypes and b
 rings disadvantages to women. Combining digital re
 cords of interests – Facebook Likes – and machine 
 learning algorisms\, we are able to measure how ge
 nder-stereotypical people’s interests are in a giv
 en population. We show that such gender segregatio
 n in interests is strongly associated with indices
  of state-level gender inequality in the US. Our r
 esearch showcases the potential for using big data
  to advise social policy related to gender equalit
 y. \n
LOCATION:2nd Floor Seminar Room\, Department of Psychology\
 , Downing Site\, Cambridge
CONTACT:Chan Yin Wah Fiona
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