eCommons

 

Framing Annotation Data for News Articles

dc.contributor.authorBaumer, Eric P. S.
dc.contributor.authorElovic, Elisha
dc.contributor.authorQin, Ying
dc.contributor.authorPolletta, Francesca
dc.contributor.authorGay, Geri
dc.date.accessioned2015-03-19T14:14:05Z
dc.date.available2015-03-19T14:14:05Z
dc.date.issued2015
dc.descriptionThis 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.en_US
dc.description.abstractThese 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.en_US
dc.description.sponsorshipUS National Science Foundation Grant #ISS-1110932en_US
dc.identifier.citationBaumer, 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).en_US
dc.identifier.citationhttp://aclweb.org/anthology/N/N15/N15-1171.pdf
dc.identifier.urihttps://hdl.handle.net/1813/39216
dc.language.isoen_USen_US
dc.publisherNorth American Chapter of the Association for Computational Linguistics (NAACL)en_US
dc.subjectframingen_US
dc.subjectsociologyen_US
dc.subjectpolitical scienceen_US
dc.subjectnatural language processingen_US
dc.subjectcomputational linguisticsen_US
dc.subjectcommunicationen_US
dc.titleFraming Annotation Data for News Articlesen_US
dc.title.alternativeTesting and Comparing Computational Approaches for Identifying the Language of Framing in Political Newsen_US
dc.typedataseten_US

Files

Original bundle
Now showing 1 - 3 of 3
No Thumbnail Available
Name:
BaumerEtAl_NAACL-HLT-2015.sql
Size:
1.75 MB
Format:
Unknown data format
Description:
Main data file
Loading...
Thumbnail Image
Name:
naaclhlt2015_Framing.pdf
Size:
210.16 KB
Format:
Adobe Portable Document Format
Description:
Preprint of publication analyzing these data
No Thumbnail Available
Name:
_Readme.txt
Size:
3.25 KB
Format:
Plain Text
Description:
Description of the data and instructions for use