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CATEGORIES:Social Psychology Seminar Series (SPSS)
SUMMARY:A zero-item personality test? Predicting personali
 ty traits from social media data - Dr David Stillw
 ell
DTSTART;TZID=Europe/London:20200311T160000
DTEND;TZID=Europe/London:20200311T170000
UID:TALK138292AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/138292
DESCRIPTION:Many researchers\, including myself (e.g. Kosinski
 \, Graepel & Stillwell\, 2013)\, have published pa
 pers showing that psychological traits like person
 ality and intelligence can be predicted from the d
 igital footprints people leave behind when they us
 e online services like social media. But are these
  predictions psychometrically reliable\, valid\, a
 nd unbiased? The Facebook Cambridge Analytica scan
 dal clearly demonstrates that the public is uneasy
  when they feel their data was misused\, but on th
 e other hand the public also likes their data to b
 e used to personalise recommendations and services
 . Ultimately\, should this technology be used in p
 ractice\, and if so under what conditions?\n\n_Dr.
  David Stillwell is Lecturer in Big Data Analytics
  and Quantitative Social Science at Judge Business
  School in the University of Cambridge. He is also
  Academic Director of the Psychometrics Centre. Da
 vid studies the links between big data and psychol
 ogy\; his research with 6 million social media use
 rs found that the computer can predict a user’s pe
 rsonality as accurately as their spouse can. Follo
 w up research found that personalizing an advert t
 o the recipient’s psychology is more effective tha
 n generic ads. David has also published research u
 sing various big data sources to show that spendin
 g money on products and services that match one’s 
 personality leads to greater life satisfaction\, t
 hat people tend to date others who have a similar 
 personality\, and that people who swear seem to be
  more honest._\n\nTwitter: @david_stillwell
LOCATION:Nick Mackintosh Room\, Department of Psychology\, 
 Downing Site
CONTACT:Elisa Militaru
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