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SUMMARY:Algorithmic Glass Ceiling in Social Networks - Ana Stoica\, Columb
 ia University
DTSTART:20180509T100000Z
DTEND:20180509T110000Z
UID:TALK104377@talks.cam.ac.uk
CONTACT:Adrian Weller
DESCRIPTION:As social recommendations such as friend suggestions and peopl
 e to follow become increasingly popular and influential on the growth of s
 ocial media\, we find that prominent social recommendation algorithms can 
 exacerbate the under-representation of certain demographic groups at the t
 op of the social hierarchy. To study this imbalance in online equal opport
 unities\, we leverage new Instagram data and offer for the first time an a
 nalysis that studies the effect of gender\, homophily and growth dynamics 
 under social recommendations. Our mathematical analysis demonstrates the e
 xistence of an algorithmic glass ceiling that exhibits all the properties 
 of the metaphorical social barrier that hinders groups like women or peopl
 e of color from attaining equal representation. What raises concern is tha
 t our proof shows that under fixed minority and homophily parameters the a
 lgorithmic effect is systematically larger than the glass ceiling generate
 d by the spontaneous growth of social networks. We discuss ways to address
  this concern in future design.
LOCATION:Engineering Department\, CBL Room BE-438.
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