Predicting dark triad personality traits from twitter usage and a linguistic analysis of tweets

Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012

Volumn 2, Issue , 2012, Pages 386-393

  Sumner, Chris ^a   Byers, Alison ^a   Boochever, Rachel ^b   Park, Gregory J ^c  

^a Online Privacy Foundation   (United States)

^b Department of Molecular Biology and Genetics   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Dark Triad; Personality; Social Networks; Twitter

Indexed keywords

BIG FIVE; DARK TRIAD; ETHICAL IMPLICATIONS; INTERNET USERS; LARGE GROUPS; LINGUISTIC ANALYSIS; ONLINE BEHAVIOURS; PERSONAL INFORMATION; PERSONALITY; PERSONALITY PREDICTIONS; PERSONALITY TRAITS; PRACTICAL IMPORTANCE; PREDICTION RATE; PREDICTIVE MODELS; RESEARCH PAPERS; SOCIAL MEDIA; SOCIAL MEDIA ANALYSIS; SOCIAL NETWORKS; SOCIAL SCIENTISTS; TWITTER;

BEHAVIORAL RESEARCH; FORECASTING; LEARNING ALGORITHMS; LEARNING SYSTEMS;

SOCIAL NETWORKING (ONLINE);

EID: 84873576218     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2012.218     Document Type: Conference Paper

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