@InProceedings{perezrosas-EtAl:2017:I17-1,
  author    = {P\'{e}rez-Rosas, Ver\'{o}nica  and  Davenport, Quincy  and  Dai, Anna Mengdan  and  Abouelenien, Mohamed  and  Mihalcea, Rada},
  title     = {Identity Deception Detection},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {885--894},
  abstract  = {This paper addresses the task of detecting identity deception in language.
	Using a novel identity deception dataset, consisting of real and portrayed
	identities from 600 individuals, we show that we can build accurate identity
	detectors targeting both age and gender, with accuracies of up to 88. We also
	perform an analysis of the linguistic patterns used in identity deception,
	which lead to interesting insights into identity portrayers.},
  url       = {http://www.aclweb.org/anthology/I17-1089}
}