Framing Annotation Data for News Articles
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Testing and Comparing Computational Approaches for Identifying the Language of Framing in Political News
Baumer, Eric P. S.; Elovic, Elisha; Qin, Ying; Polletta, Francesca; Gay, Geri
These data were collected from Mechanical Turk workers (www.mturk.com) and students at two research universities who were asked to highlight the words and phrases related to framing in political news articles.
This archive includes three files. BaumerEtAl_NAACL-HLT-2015.sql contains the data. _Readme.txt provides a description of the data format and instructions for use. naaclhlt2015-Framing.pdf is a preprint of the article that analyzes these data.
US National Science Foundation Grant #ISS-1110932
North American Chapter of the Association for Computational Linguistics (NAACL)
framing; sociology; political science; natural language processing; computational linguistics; communication
Previously Published As
Baumer, E.P.S., Elovic, E., Qin, Y., Polletta, F., and Gay, G. (2015). Testing and Comparing Computational Approaches for Identifying the Language of Framing in Political News. in Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies Conference (NAACL-HLT) (pp. 1472-1482). (Denver, CO).http://aclweb.org/anthology/N/N15/N15-1171.pdf