%0 Conference Paper %1 bachrach2012personality %A Bachrach, Yoram %A Kosinski, Michal %A Graepel, Thore %A Kohli, Pushmeet %A Stillwell, David %B WebSci %D 2012 %E Contractor, Noshir S. %E Uzzi, Brian %E Macy, Michael W. %E Nejdl, Wolfgang %I ACM %K facebook factor five model patterns personality psychology thema usage %P 24-32 %R 10.1145/2380718.2380722 %T Personality and patterns of Facebook usage %X We show how users’ activity on Facebook relates to their personality, as measured by the standard Five Factor Model. Our dataset consists of the personality profiles and Facebook profile data of 180,000 users. We examine correlations between users’ personality and the properties of their Facebook profiles such as the size and density of their friendship net- work, number uploaded photos, number of events attended, number of group memberships, and number of times user has been tagged in photos. Our results show significant rela- tionships between personality traits and various features of Facebook profiles. We then show how multivariate regres- sion allows prediction of the personality traits of an individual user given their Facebook profile. The best accuracy of such predictions is achieved for Extraversion and Neuroticism, the lowest accuracy is obtained for Agreeableness, with Openness and Conscientiousness lying in the middle. %@ 978-1-4503-1228-8

@inproceedings{bachrach2012personality, abstract = {We show how users’ activity on Facebook relates to their personality, as measured by the standard Five Factor Model. Our dataset consists of the personality profiles and Facebook profile data of 180,000 users. We examine correlations between users’ personality and the properties of their Facebook profiles such as the size and density of their friendship net- work, number uploaded photos, number of events attended, number of group memberships, and number of times user has been tagged in photos. Our results show significant rela- tionships between personality traits and various features of Facebook profiles. We then show how multivariate regres- sion allows prediction of the personality traits of an individual user given their Facebook profile. The best accuracy of such predictions is achieved for Extraversion and Neuroticism, the lowest accuracy is obtained for Agreeableness, with Openness and Conscientiousness lying in the middle.}, added-at = {2015-09-22T14:04:01.000+0200}, author = {Bachrach, Yoram and Kosinski, Michal and Graepel, Thore and Kohli, Pushmeet and Stillwell, David}, biburl = {https://www.bibsonomy.org/bibtex/25c86842a3dcab27f1858ab31ff1c65f6/nosebrain}, booktitle = {WebSci}, crossref = {conf/websci/2012}, doi = {10.1145/2380718.2380722}, editor = {Contractor, Noshir S. and Uzzi, Brian and Macy, Michael W. and Nejdl, Wolfgang}, interhash = {57c5397cc81dd7fb1495c0e2bdb5892c}, intrahash = {5c86842a3dcab27f1858ab31ff1c65f6}, isbn = {978-1-4503-1228-8}, keywords = {facebook factor five model patterns personality psychology thema usage}, pages = {24-32}, publisher = {ACM}, timestamp = {2015-12-15T17:23:50.000+0100}, title = {Personality and patterns of Facebook usage}, year = 2012 }