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SUMMARY:A zero-item personality test? Predicting personality traits from s
 ocial media data - Dr David Stillwell
DTSTART:20200311T160000Z
DTEND:20200311T170000Z
UID:TALK138292@talks.cam.ac.uk
CONTACT:Elisa Militaru
DESCRIPTION:Many researchers\, including myself (e.g. Kosinski\, Graepel &
  Stillwell\, 2013)\, have published papers showing that psychological trai
 ts like personality and intelligence can be predicted from the digital foo
 tprints people leave behind when they use online services like social medi
 a. But are these predictions psychometrically reliable\, valid\, and unbia
 sed? The Facebook Cambridge Analytica scandal clearly demonstrates that th
 e public is uneasy when they feel their data was misused\, but on the othe
 r hand the public also likes their data to be used to personalise recommen
 dations and services. Ultimately\, should this technology be used in pract
 ice\, and if so under what conditions?\n\n_Dr. David Stillwell is Lecturer
  in Big Data Analytics and Quantitative Social Science at Judge Business S
 chool in the University of Cambridge. He is also Academic Director of the 
 Psychometrics Centre. David studies the links between big data and psychol
 ogy\; his research with 6 million social media users found that the comput
 er can predict a user’s personality as accurately as their spouse can. F
 ollow up research found that personalizing an advert to the recipient’s 
 psychology is more effective than generic ads. David has also published re
 search using various big data sources to show that spending money on produ
 cts and services that match one’s personality leads to greater life sati
 sfaction\, that people tend to date others who have a similar personality\
 , and that people who swear seem to be more honest._\n\nTwitter: @david_st
 illwell
LOCATION:Nick Mackintosh Room\, Department of Psychology\, Downing Site
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