Bibliography

 

Bibliography of Social Media & Psychology Related Papers

Please contact us at chris@onlineprivacyfoundation.org if you are aware of other papers not reflected in this bibliography

Personality Prediction (Machine Learning)

Bachrach, Y., Kosinski, M., Graepel, T.,  Kohli, P., and Stillwell, D. (2012) Personality and Patterns of Facebook Usage. Proceedings from ACM Web Sciences 2012, ACM Conference on Web Sciences, Evanston, IL, USA

Bai, S., Zhu, T,, Cheng, L., (2012) Big-Five Personality Prediction Based on User Behaviors at Social Network Sites. eprint arXiv:1204.4809

Golbeck, J., Robles, C., & Turner, K. (2011). Predicting personality with social media. Proceedings from CHI EA ’11: Annual conference extended abstracts on Human factors in computing systems, 253–262. New York, NY, USA.

Golbeck, J., Robles, Edmondson, M. and Turner, K. (2011) Predicting Personality from Twitter from IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, Boston, Massachusetts, USA.

Quercia, Daniele, Kosinski, Michal, Stillwell, David, and Crowcroft, Jon. (2011). Our Twitter Profiles, Our Selves: Predicting Personality with Twitter. 2011 ieee third international conference on social computing (socialcom).Boston October.

Sumner, C.,  Byers, A., Boochever, R., and Park, G, J. (2012). Predicting Dark Triad Personality Traits from Twitter usage and a linguistic analysis of Tweets, 11th IEEE International Conference on Machine Learning and Applications, 2012, pp. 386-393. Read More | Paper 

Wald, R.,  Khoshgoftaar, T, M.,  Napolitano, A., and Sumner, C. (2012). Using Twitter Content to Predict Psychopathy, 11th IEEE International Conference on Machine Learning and Applications, 2012, pp. 394-401.

Wald, Randall and Taghi M. Khoshgoftaar and Chris Sumner, (2012). Machine Prediction of Personality from Facebook Profiles, 13th IEEE International Conference on Information Reuse and Integration, 2012, pp. 109-115.

 

Social Media Behaviour and Personality (Not machine learning)

Lin Qiu, Han Lin, Jonathan Ramsay, Fang Yang, You Are What You Tweet: Personality Expression and Perception on Twitter, Journal of Research in Personality, Available online 8 September 2012, ISSN 0092-6566, 10.1016/j.jrp.2012.08.008.
(http://www.sciencedirect.com/science/article/pii/S009265661200133X?v=s5)

Sumner, C., Byers, A., & Shearing, M. (2011). Determining personality traits & privacy concerns from Facebook activity. Black Hat Briefings ’11. Abu Dhabi, United Arab Emirates.

 

Other

Michael D. Conover, Bruno Goncalves, Jacob Ratkiewicz, Alessandro Flammini, and Filippo Menczer. (2011). Predicting the Political Alignment of Twitter Users. Proceedings of the 3rd IEEE Conference on Social Computing, forthcoming. (journal article)

Daniel Gayo-Avello. (2012). “I Wanted to Predict Elections with Twitter and all I got was this Lousy Paper” — A Balanced Survey on Election Prediction using Twitter Data. (unpublished)

Wang, X., Gerber, M, Brown, D., (2012) Automatic Crime Prediction Using Events Extracted from Twitter Posts. Social Computing, Behavioral – Cultural Modeling and Prediction, 231-238. Berlin, Germany

Zhang, Y., Tang, L., & Leung, L. (2011). Gratifications, collective self-esteem, online emotional openness, and traitlike communication apprehension as predictors of Facebook uses. Cyberpsychology, Behavior & Social Networking, 14, 733-739. doi:10.1089/cyber.2010.0042

Zywica, J., & Danowski, J. (2008). The faces of facebookers: Investigating social enhancement and social compensation hypotheses; predicting Facebook™ and offline popularity from sociability and self-esteem, and mapping the meanings of popularity with semantic networks. Journal of Computer-Mediated Communication, 14, 1-34. doi: 10.1111/j.1083-6101.2008.01429.x

 

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