@InProceedings{preoiucpietro-carpenter-ungar:2017:NLPandCSS,
  author    = {Preoţiuc-Pietro, Daniel  and  Carpenter, Jordan  and  Ungar, Lyle},
  title     = {Personality Driven Differences in Paraphrase Preference},
  booktitle = {Proceedings of the Second Workshop on NLP and Computational Social Science},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {17--26},
  abstract  = {Personality plays a decisive role in how people behave in different scenarios,
	including online social media. Researchers have used such data to study how
	personality can be predicted from language use. In this paper, we study phrase
	choice as a particular stylistic linguistic difference, as opposed to the
	mostly topical differences identified previously. Building on previous work on
	demographic preferences, we quantify differences in paraphrase choice from a
	massive Facebook data set with posts from over 115,000 users. We quantify the
	predictive power of phrase choice in user profiling and use phrase choice to
	study psycholinguistic hypotheses. This work is relevant to future applications
	that aim to personalize text generation to specific personality types.},
  url       = {http://www.aclweb.org/anthology/W17-2903}
}