@InProceedings{hardt-rambow:2017:NLPmJ,
  author    = {Hardt, Daniel  and  Rambow, Owen},
  title     = {Predicting User Views in Online News},
  booktitle = {Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {7--12},
  abstract  = {We analyze user viewing behavior on an online news site. We collect
	data from 64,000 news articles, and use text features to predict
	frequency of user views. We compare predictiveness of the headline and
	``teaser" (viewed before clicking) and the body (viewed after clicking). Both
	are predictive of clicking behavior, with the full article text being most
	predictive.},
  url       = {http://www.aclweb.org/anthology/W17-4202}
}