Summary of the paper

Title An Empirical Exploration of Moral Foundations Theory in Partisan News Sources
Authors Dean Fulgoni, Jordan Carpenter, Lyle Ungar and Daniel Preoţiuc-Pietro
Abstract News sources frame issues in different ways in order to appeal or control the perception of their readers. We present a large scale study of news articles from partisan sources in the US across a variety of different issues. We first highlight that differences between sides exist by predicting the political leaning of articles of unseen political bias. Framing can be driven by different types of morality that each group values. We emphasize differences in framing of different news building on the moral foundations theory quantified using hand crafted lexicons. Our results show that partisan sources frame political issues differently both in terms of words usage and through the moral foundations they relate to.
Topics Text Mining, Document Classification, Text categorisation, Other
Full paper An Empirical Exploration of Moral Foundations Theory in Partisan News Sources
Bibtex @InProceedings{FULGONI16.1076,
  author = {Dean Fulgoni and Jordan Carpenter and Lyle Ungar and Daniel Preoţiuc-Pietro},
  title = {An Empirical Exploration of Moral Foundations Theory in Partisan News Sources},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
 }
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