@InProceedings{garimella-mihalcea:2016:PEOPLES,
  author    = {Garimella, Aparna  and  Mihalcea, Rada},
  title     = {Zooming in on Gender Differences in Social Media},
  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     = {1--10},
  abstract  = {Men are from Mars and women are from Venus - or so the genre of relationship
	literature would have us believe. But there is some truth in this idea, and
	researchers in fields as diverse as psychology, sociology, and linguistics have
	explored ways to better understand the differences between genders. In this
	paper, we take another look at the problem of gender discrimination and attempt
	to move beyond the typical surface-level text classification approach, by (1)
	identifying semantic and psycholinguistic word classes that reflect systematic
	differences between men and women and (2) finding differences between genders
	in the ways they use the same words. We describe several experiments and report
	results on a large collection of blogs authored by men and women.},
  url       = {http://aclweb.org/anthology/W16-4301}
}