@InProceedings{wooddoughty-EtAl:2017:NLPandCSS,
  author    = {Wood-Doughty, Zach  and  Smith, Michael  and  Broniatowski, David  and  Dredze, Mark},
  title     = {How Does Twitter User Behavior Vary Across Demographic Groups?},
  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     = {83--89},
  abstract  = {Demographically-tagged social media messages are a common source of data for
	computational social science.  While these messages can indicate differences in
	beliefs and behaviors between demographic groups, we do not have a clear
	understanding of how different demographic groups use platforms such as
	Twitter.  This paper presents a preliminary analysis of how groups' differing
	behaviors may confound analyses of the groups themselves.  We analyzed one
	million Twitter users by first inferring demographic attributes, and then
	measuring several indicators of Twitter behavior. We find differences in these
	indicators across demographic groups, suggesting that there may be underlying
	differences in how different demographic groups use Twitter.},
  url       = {http://www.aclweb.org/anthology/W17-2912}
}