Computational personality recognition in social media
A variety of approaches have been recently proposed to automatically infer users’ personality from their user generated content in social media. Approaches differ in terms of the machine learning algorithms and the feature sets used, type of utilized footprint, and the social media environment used...
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| Veröffentlicht in: | User modeling and user-adapted interaction Jg. 26; H. 2-3; S. 109 - 142 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Dordrecht
Springer Netherlands
01.06.2016
Springer Nature B.V |
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| ISSN: | 0924-1868, 1573-1391 |
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| Abstract | A variety of approaches have been recently proposed to automatically infer users’ personality from their user generated content in social media. Approaches differ in terms of the machine learning algorithms and the feature sets used, type of utilized footprint, and the social media environment used to collect the data. In this paper, we perform a comparative analysis of state-of-the-art computational personality recognition methods on a varied set of social media ground truth data from Facebook, Twitter and YouTube. We answer three questions: (1) Should personality prediction be treated as a multi-label prediction task (i.e., all personality traits of a given user are predicted at once), or should each trait be identified separately? (2) Which predictive features work well across different on-line environments? and (3) What is the decay in accuracy when porting models trained in one social media environment to another? |
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| AbstractList | A variety of approaches have been recently proposed to automatically infer users' personality from their user generated content in social media. Approaches differ in terms of the machine learning algorithms and the feature sets used, type of utilized footprint, and the social media environment used to collect the data. In this paper, we perform a comparative analysis of state-of-the-art computational personality recognition methods on a varied set of social media ground truth data from Facebook, Twitter and YouTube. We answer three questions: (1) Should personality prediction be treated as a multi-label prediction task (i.e., all personality traits of a given user are predicted at once), or should each trait be identified separately? (2) Which predictive features work well across different on-line environments? and (3) What is the decay in accuracy when porting models trained in one social media environment to another? |
| Author | Sitaraman, Geetha Davalos, Sergio Farnadi, Golnoosh Moens, Marie-Francine Sushmita, Shanu Kosinski, Michal Celli, Fabio De Cock, Martine Stillwell, David |
| Author_xml | – sequence: 1 givenname: Golnoosh surname: Farnadi fullname: Farnadi, Golnoosh email: Golnoosh.farnadi@ugent.be organization: Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Department of Computer Science, Katholieke Universiteit Leuven – sequence: 2 givenname: Geetha surname: Sitaraman fullname: Sitaraman, Geetha organization: Center for Data Science, University of Washington Tacoma – sequence: 3 givenname: Shanu surname: Sushmita fullname: Sushmita, Shanu organization: Center for Data Science, University of Washington Tacoma – sequence: 4 givenname: Fabio surname: Celli fullname: Celli, Fabio organization: Center for Mind/Brain Sciences, University of Trento – sequence: 5 givenname: Michal surname: Kosinski fullname: Kosinski, Michal organization: Stanford Graduate School of Business, Stanford University – sequence: 6 givenname: David surname: Stillwell fullname: Stillwell, David organization: Judge Business School, University of Cambridge – sequence: 7 givenname: Sergio surname: Davalos fullname: Davalos, Sergio organization: Milgard School of Business, University of Washington Tacoma – sequence: 8 givenname: Marie-Francine surname: Moens fullname: Moens, Marie-Francine organization: Department of Computer Science, Katholieke Universiteit Leuven – sequence: 9 givenname: Martine surname: De Cock fullname: De Cock, Martine organization: Center for Data Science, University of Washington Tacoma |
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| Cites_doi | 10.1177/0956797609360756 10.1037/pspp0000020 10.1109/TMM.2012.2225032 10.1016/j.jrp.2010.11.013 10.1145/2463579.2463581 10.1177/0261927X09351676 10.1073/pnas.1218772110 10.1016/j.chb.2011.11.001 10.1073/pnas.1418680112 10.1371/journal.pone.0073791 10.1016/j.jrp.2005.08.007 10.1037/0022-3514.77.6.1296 10.1016/j.paid.2005.06.027 10.1016/j.pmcj.2011.09.004 10.1016/j.ipm.2004.08.006 10.1146/annurev.psych.57.102904.190127 10.1016/j.jrp.2006.02.001 10.1145/2145204.2145346 10.1007/s11257-016-9172-z 10.1145/2043932.2043969 10.1609/icwsm.v7i2.14472 10.1109/ICSC.2010.41 10.1109/PASSAT/SocialCom.2011.26 10.1007/978-3-540-74958-5_61 10.3115/v1/W14-2607 10.1609/icwsm.v7i2.14470 10.1609/icwsm.v5i1.14151 10.1109/WI-IAT.2013.70 10.1613/jair.2349 10.1145/2659522.2659526 10.1145/2380718.2380722 10.1145/642611.642662 10.1145/1979742.1979920 10.1609/icwsm.v5i1.14160 10.5817/CP2013-3-6 10.1109/JPROC.2014.2359054 10.1109/PASSAT/SocialCom.2011.33 10.1609/icwsm.v3i1.13961 10.1145/2522848.2522858 10.1145/2647868.2647870 10.1145/1979742.1979614 |
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| Keywords | User generated content Multivariate regression Feature analysis Big Five personality Social media |
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| References | Gill, Oberlander, Austin (CR19) 2006; 40 Costa, McCrae (CR12) 2008; 2 CR39 CR37 CR35 Lee, Lee (CR36) 2006; 42 CR32 Hughes, Rowe, Batey, Lee (CR28) 2012; 28 Mairesse, Walker, Mehl, Moore (CR38) 2007; 30 Oliveira, Cherubini, Oliver (CR42) 2013; 20 CR2 CR3 CR5 CR8 CR7 CR9 CR49 CR48 CR47 Schwartz, Eichstaedt, Kern, Dziurzynski, Ramones, Agrawal, Shah, Kosinski, Stillwell, Seligman (CR52) 2013; 8 CR46 CR41 CR40 Rammstedt, John (CR50) 2007; 41 Ozer, Benet-Martinez (CR43) 2006; 57 Hagger-Johnson, Egan, Stillwell (CR25) 2011; 45 Goldberg, Johnson, Eber, Hogan, Ashton, Cloninger, Gough (CR23) 2006; 40 Guyon, Elisseeff (CR24) 2003; 3 Kosinski, Bachrach, Kohli, Stillwell, Graepel (CR33) 2013; 95 Kosinski, Stillwell, Graepel (CR34) 2013; 110 CR18 CR17 Saati, Salem, Brinkman (CR51) 2005; 2005 CR16 CR15 CR14 CR13 CR11 CR55 CR10 Biel, Gatica-Perez (CR6) 2013; 15 CR53 Back, Stopfer, Vazire, Gaddis, Schmukle, Egloff, Gosling (CR4) 2010; 21 Tausczik, Pennebaker (CR54) 2010; 29 Aharony, Pan, Ip, Khayal, Pentland (CR1) 2011; 7 John, Srivastava (CR30) 1999; 2 Youyou, Kosinski, Stillwell (CR56) 2015; 112 CR29 CR27 CR26 Jolliffe (CR31) 2002 CR22 CR21 CR20 Pennebaker, King (CR45) 1999; 77 Park, Schwartz, Eichstaedt, Kern, Kosinski, Stillwell, Ungar, Seligman (CR44) 2015; 108 9171_CR37 9171_CR39 I Guyon (9171_CR24) 2003; 3 DJ Ozer (9171_CR43) 2006; 57 9171_CR46 9171_CR47 9171_CR40 9171_CR41 9171_CR48 9171_CR49 J Biel (9171_CR6) 2013; 15 W Youyou (9171_CR56) 2015; 112 B Saati (9171_CR51) 2005; 2005 M Kosinski (9171_CR34) 2013; 110 9171_CR9 9171_CR8 YR Tausczik (9171_CR54) 2010; 29 9171_CR5 G Park (9171_CR44) 2015; 108 9171_CR7 9171_CR11 9171_CR55 9171_CR3 9171_CR13 9171_CR2 9171_CR14 9171_CR53 9171_CR10 9171_CR15 9171_CR16 9171_CR17 9171_CR18 C Lee (9171_CR36) 2006; 42 HA Schwartz (9171_CR52) 2013; 8 AJ Gill (9171_CR19) 2006; 40 JW Pennebaker (9171_CR45) 1999; 77 M Kosinski (9171_CR33) 2013; 95 9171_CR22 G Hagger-Johnson (9171_CR25) 2011; 45 9171_CR20 9171_CR21 B Rammstedt (9171_CR50) 2007; 41 9171_CR26 9171_CR27 9171_CR29 OP John (9171_CR30) 1999; 2 N Aharony (9171_CR1) 2011; 7 PT Costa (9171_CR12) 2008; 2 LR Goldberg (9171_CR23) 2006; 40 RD Oliveira (9171_CR42) 2013; 20 DJ Hughes (9171_CR28) 2012; 28 F Mairesse (9171_CR38) 2007; 30 I Jolliffe (9171_CR31) 2002 9171_CR35 MD Back (9171_CR4) 2010; 21 9171_CR32 |
| References_xml | – ident: CR22 – ident: CR49 – ident: CR39 – ident: CR16 – volume: 21 start-page: 372 year: 2010 end-page: 374 ident: CR4 article-title: Facebook profiles reflect actual personality, not self-idealization publication-title: Psychol. Sci. doi: 10.1177/0956797609360756 – ident: CR35 – volume: 108 start-page: 934 issue: 6 year: 2015 ident: CR44 article-title: Automatic personality assessment through social media language publication-title: J. Pers. Soc. Psychol. doi: 10.1037/pspp0000020 – volume: 15 start-page: 41 issue: 1 year: 2013 end-page: 55 ident: CR6 article-title: The YouTube lens: crowdsourced personality impressions and audiovisual analysis of vlogs publication-title: IEEE Trans. Multimed. doi: 10.1109/TMM.2012.2225032 – ident: CR29 – ident: CR8 – volume: 45 start-page: 71 issue: 1 year: 2011 end-page: 76 ident: CR25 article-title: Are social networking profiles reliable indicators of sensational interests? publication-title: J. Res. Pers. doi: 10.1016/j.jrp.2010.11.013 – volume: 20 start-page: 10:1 issue: 2 year: 2013 end-page: 10:23 ident: CR42 article-title: Influence of personality on satisfaction with mobile phone services publication-title: ACM Trans. Comput. Hum. Interact. doi: 10.1145/2463579.2463581 – ident: CR21 – ident: CR46 – volume: 29 start-page: 24 year: 2010 end-page: 54 ident: CR54 article-title: The Psychological meaning of words: LIWC and computerized text analysis methods publication-title: J. Lang. Soc. Psychol. doi: 10.1177/0261927X09351676 – ident: CR15 – year: 2002 ident: CR31 publication-title: Principal Component Analysis – volume: 110 start-page: 5802 year: 2013 end-page: 5805 ident: CR34 article-title: Private traits and attributes are predictable from digital records of human behavior publication-title: Proc. Natl. Acad. Sci. (PNAS) doi: 10.1073/pnas.1218772110 – volume: 2 start-page: 179 year: 2008 end-page: 198 ident: CR12 article-title: The revised NEO personality inventory (NEO-PI-R) publication-title: SAGE Handb. Pers. Theory Assess. – ident: CR11 – ident: CR9 – ident: CR32 – volume: 30 start-page: 457 year: 2007 end-page: 501 ident: CR38 article-title: Using linguistic cues for the automatic recognition of personality in conversation and text publication-title: J. Artif. Intell. Res. – ident: CR5 – volume: 3 start-page: 1157 year: 2003 end-page: 1182 ident: CR24 article-title: An introduction to variable and feature selection publication-title: J. Mach. Learn. Res. – volume: 28 start-page: 561 issue: 2 year: 2012 end-page: 569 ident: CR28 article-title: A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage publication-title: Comput. Hum. Behav. doi: 10.1016/j.chb.2011.11.001 – volume: 95 start-page: 1 issue: 3 year: 2013 end-page: 24 ident: CR33 article-title: Manifestations of user personality in website choice and behaviour on online social networks publication-title: Mach. Learn. – ident: CR26 – volume: 112 start-page: 1036 issue: 4 year: 2015 end-page: 1040 ident: CR56 article-title: Computer-based personality judgements are more accurate than those made by humans publication-title: Proc. Natl. Acad. Sci. (PNAS) doi: 10.1073/pnas.1418680112 – ident: CR18 – volume: 2 start-page: 102 year: 1999 end-page: 138 ident: CR30 article-title: The Big Five trait taxonomy: history, measurement, and theoretical perspectives publication-title: Handb. Pers. Theory Res. – ident: CR47 – ident: CR14 – ident: CR2 – ident: CR37 – ident: CR53 – volume: 8 start-page: e73791 issue: 9 year: 2013 ident: CR52 article-title: Personality, gender, and age in the language of social media: the open-vocabulary approach publication-title: PloS one doi: 10.1371/journal.pone.0073791 – ident: CR10 – volume: 40 start-page: 84 issue: 1 year: 2006 end-page: 96 ident: CR23 article-title: The international personality item pool and the future of public-domain personality measures publication-title: J. Res. Pers. doi: 10.1016/j.jrp.2005.08.007 – volume: 77 start-page: 1296 issue: 6 year: 1999 ident: CR45 article-title: Linguistic styles: language use as an individual difference publication-title: J. Pers. Soc. Psychol. doi: 10.1037/0022-3514.77.6.1296 – ident: CR40 – ident: CR27 – ident: CR48 – ident: CR3 – ident: CR17 – ident: CR13 – volume: 40 start-page: 497 issue: 3 year: 2006 end-page: 507 ident: CR19 article-title: Rating e-mail personality at zero acquaintance publication-title: Pers. Individ. Differ. doi: 10.1016/j.paid.2005.06.027 – volume: 7 start-page: 643 issue: 6 year: 2011 end-page: 659 ident: CR1 article-title: Social fmri: Investigating and shaping social mechanisms in the real world publication-title: Pervasive Mob. Comput. doi: 10.1016/j.pmcj.2011.09.004 – volume: 2005 start-page: 89 issue: 2 year: 2005 end-page: 93 ident: CR51 article-title: Towards customized user interface skins: investigating user personality and skin colour publication-title: Proc. HCI – ident: CR55 – ident: CR7 – volume: 42 start-page: 155 issue: 1 year: 2006 end-page: 165 ident: CR36 article-title: Information gain and divergence-based feature selection for machine learning-based text categorization publication-title: Inf. Process. Manag. doi: 10.1016/j.ipm.2004.08.006 – ident: CR41 – volume: 57 start-page: 401 year: 2006 end-page: 421 ident: CR43 article-title: Personality and the prediction of consequential outcomes publication-title: Annu. Rev. Psychol. doi: 10.1146/annurev.psych.57.102904.190127 – volume: 41 start-page: 203 issue: 1 year: 2007 end-page: 212 ident: CR50 article-title: Measuring personality in one minute or less: a 10-item short version of the Big Five Inventory in English and German publication-title: J. Res. Pers. doi: 10.1016/j.jrp.2006.02.001 – ident: CR20 – volume: 112 start-page: 1036 issue: 4 year: 2015 ident: 9171_CR56 publication-title: Proc. Natl. Acad. Sci. (PNAS) doi: 10.1073/pnas.1418680112 – ident: 9171_CR55 – ident: 9171_CR26 – ident: 9171_CR48 doi: 10.1145/2145204.2145346 – ident: 9171_CR18 doi: 10.1007/s11257-016-9172-z – ident: 9171_CR27 doi: 10.1145/2043932.2043969 – volume: 77 start-page: 1296 issue: 6 year: 1999 ident: 9171_CR45 publication-title: J. Pers. Soc. Psychol. doi: 10.1037/0022-3514.77.6.1296 – volume: 2005 start-page: 89 issue: 2 year: 2005 ident: 9171_CR51 publication-title: Proc. HCI – ident: 9171_CR29 doi: 10.1609/icwsm.v7i2.14472 – ident: 9171_CR46 doi: 10.1109/ICSC.2010.41 – volume: 110 start-page: 5802 year: 2013 ident: 9171_CR34 publication-title: Proc. Natl. Acad. Sci. (PNAS) doi: 10.1073/pnas.1218772110 – ident: 9171_CR49 – ident: 9171_CR47 doi: 10.1109/PASSAT/SocialCom.2011.26 – volume: 3 start-page: 1157 year: 2003 ident: 9171_CR24 publication-title: J. Mach. Learn. Res. – ident: 9171_CR8 – ident: 9171_CR32 doi: 10.1007/978-3-540-74958-5_61 – volume: 29 start-page: 24 year: 2010 ident: 9171_CR54 publication-title: J. Lang. Soc. Psychol. doi: 10.1177/0261927X09351676 – volume: 28 start-page: 561 issue: 2 year: 2012 ident: 9171_CR28 publication-title: Comput. Hum. Behav. doi: 10.1016/j.chb.2011.11.001 – volume: 40 start-page: 84 issue: 1 year: 2006 ident: 9171_CR23 publication-title: J. Res. Pers. doi: 10.1016/j.jrp.2005.08.007 – ident: 9171_CR39 doi: 10.3115/v1/W14-2607 – ident: 9171_CR17 doi: 10.1609/icwsm.v7i2.14470 – volume: 2 start-page: 102 year: 1999 ident: 9171_CR30 publication-title: Handb. Pers. Theory Res. – ident: 9171_CR41 doi: 10.1609/icwsm.v5i1.14151 – ident: 9171_CR15 – ident: 9171_CR5 doi: 10.1109/WI-IAT.2013.70 – ident: 9171_CR11 – volume: 30 start-page: 457 year: 2007 ident: 9171_CR38 publication-title: J. Artif. Intell. Res. doi: 10.1613/jair.2349 – volume: 45 start-page: 71 issue: 1 year: 2011 ident: 9171_CR25 publication-title: J. Res. Pers. doi: 10.1016/j.jrp.2010.11.013 – volume: 8 start-page: e73791 issue: 9 year: 2013 ident: 9171_CR52 publication-title: PloS one doi: 10.1371/journal.pone.0073791 – ident: 9171_CR16 doi: 10.1145/2659522.2659526 – volume: 95 start-page: 1 issue: 3 year: 2013 ident: 9171_CR33 publication-title: Mach. Learn. – volume-title: Principal Component Analysis year: 2002 ident: 9171_CR31 – ident: 9171_CR53 – volume: 42 start-page: 155 issue: 1 year: 2006 ident: 9171_CR36 publication-title: Inf. Process. Manag. doi: 10.1016/j.ipm.2004.08.006 – ident: 9171_CR3 doi: 10.1145/2380718.2380722 – ident: 9171_CR9 – volume: 57 start-page: 401 year: 2006 ident: 9171_CR43 publication-title: Annu. Rev. Psychol. doi: 10.1146/annurev.psych.57.102904.190127 – ident: 9171_CR37 doi: 10.1145/642611.642662 – volume: 20 start-page: 10:1 issue: 2 year: 2013 ident: 9171_CR42 publication-title: ACM Trans. Comput. Hum. Interact. doi: 10.1145/2463579.2463581 – ident: 9171_CR14 doi: 10.1145/1979742.1979920 – ident: 9171_CR7 doi: 10.1609/icwsm.v5i1.14160 – ident: 9171_CR20 doi: 10.5817/CP2013-3-6 – ident: 9171_CR35 doi: 10.1109/JPROC.2014.2359054 – volume: 108 start-page: 934 issue: 6 year: 2015 ident: 9171_CR44 publication-title: J. Pers. Soc. Psychol. doi: 10.1037/pspp0000020 – volume: 41 start-page: 203 issue: 1 year: 2007 ident: 9171_CR50 publication-title: J. Res. Pers. doi: 10.1016/j.jrp.2006.02.001 – volume: 15 start-page: 41 issue: 1 year: 2013 ident: 9171_CR6 publication-title: IEEE Trans. Multimed. doi: 10.1109/TMM.2012.2225032 – volume: 40 start-page: 497 issue: 3 year: 2006 ident: 9171_CR19 publication-title: Pers. Individ. Differ. doi: 10.1016/j.paid.2005.06.027 – ident: 9171_CR21 doi: 10.1109/PASSAT/SocialCom.2011.33 – volume: 7 start-page: 643 issue: 6 year: 2011 ident: 9171_CR1 publication-title: Pervasive Mob. Comput. doi: 10.1016/j.pmcj.2011.09.004 – ident: 9171_CR13 doi: 10.1609/icwsm.v3i1.13961 – ident: 9171_CR2 doi: 10.1145/2522848.2522858 – volume: 21 start-page: 372 year: 2010 ident: 9171_CR4 publication-title: Psychol. Sci. doi: 10.1177/0956797609360756 – ident: 9171_CR40 – ident: 9171_CR10 doi: 10.1145/2647868.2647870 – volume: 2 start-page: 179 year: 2008 ident: 9171_CR12 publication-title: SAGE Handb. Pers. Theory Assess. – ident: 9171_CR22 doi: 10.1145/1979742.1979614 |
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| SubjectTerms | Accuracy Comparative analysis Computation Computer Science Datasets Digital media Emotions Management of Computing and Information Systems Mathematical models Multimedia Information Systems On-line systems Personality Personality traits Psychology Questionnaires Recognition Social networks Studies Tasks User generated content User Interfaces and Human Computer Interaction |
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