@InProceedings{litvak-EtAl:2016:PEOPLES,
  author    = {Litvak, Marina  and  Otterbacher, Jahna  and  Ang, Chee Siang  and  Atkins, David},
  title     = {Social and linguistic behavior and its correlation to trait empathy},
  booktitle = {Proceedings of the Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media (PEOPLES)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {128--137},
  abstract  = {A growing body of research exploits social media behaviors to gauge
	psychological character-istics, though trait empathy has received little
	attention. Because of its intimate link to the abil-ity to relate to others,
	our research aims to predict participants’ levels of empathy, given their
	textual and friending behaviors on Facebook. Using Poisson regression, we
	compared the vari-ance explained in Davis’ Interpersonal Reactivity Index
	(IRI) scores on four constructs (em-pathic concern, personal distress, fantasy,
	perspective taking), by two classes of variables: 1) post content and 2)
	linguistic style. Our study lays the groundwork for a greater understanding of
	empathy’s role in facilitating interactions on social media.},
  url       = {http://aclweb.org/anthology/W16-4314}
}