Title :
Tracking the Digital Footprints of Personality
Author :
Lambiotte, Renaud ; Kosinski, Michal
Author_Institution :
Namur Center for Complex Syst. (naXys), Univ. of Namur, Namur, Belgium
Abstract :
A growing portion of offline and online human activities leave digital footprints in electronic databases. Resulting big social data offers unprecedented insights into population-wide patterns and detailed characteristics of the individuals. The goal of this paper is to review the literature showing how pervasive records of digital footprints, such as Facebook profile, or mobile device logs, can be used to infer personality, a major psychological framework describing differences in individual behavior. We briefly introduce personality and present a range of works focusing on predicting it from digital footprints and conclude with a discussion of the implications of these results in terms of privacy, data ownership, and opportunities for future research in computational social science.
Keywords :
behavioural sciences computing; mobile computing; psychology; social networking (online); Facebook profile; big social data; computational social science; digital footprints; electronic databases; mobile device logs; personality footprints; pervasive records; psychological framework; Communities; Complex networks; Data privacy; Database systems; Digital communication; Human factors; Internet; Psychology; Social network services; Big data; personality; psychology; social networks;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/JPROC.2014.2359054