@InProceedings{mishra-EtAl:2018:C18-1,
  author    = {Mishra, Pushkar  and  Del Tredici, Marco  and  Yannakoudakis, Helen  and  Shutova, Ekaterina},
  title     = {Author Profiling for Abuse Detection},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {1088--1098},
  abstract  = {The rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of hateful and offensive language on the Internet. Previous research suggests that such abusive content tends to come from users who share a set of common stereotypes and form communities around them. The current state-of-the-art approaches to abuse detection are oblivious to user and community information and rely entirely on textual (i.e., lexical and semantic) cues. },
  url       = {http://www.aclweb.org/anthology/C18-1093}
}