TY - GEN
T1 - Automatically extracting frames from media content using syntacting analysis
AU - Van Atteveldt, Wouter
AU - Sheafer, Tamir
AU - Shenhav, Shaul
PY - 2013
Y1 - 2013
N2 - Content analysis of media framing is difficult to do using keyword or dictionary approaches. This paper presents an automatic Semantic Network Analysis method for extracting framing. This method consists of four steps. (1) Sentences are analysed syntactically; (2) Semantic relations are extracted from the syntactic structure; (3) actors and issues are identified in these semantic relations yielding a semantic network of relations between actors and issues; and (4) the frames are extracted from this semantic network. The method is tested by analysing the framing of the 2008-2009 Gaza war by the international news media, comparing the automatically extracted frames with a manually coded gold standard. Three of four frames had strong reliability (α > .7) and one frame had moderate reliability (α = 0.58). This paves the way for more large scale quantitative content analysis studies of framing effects and dynamics.
AB - Content analysis of media framing is difficult to do using keyword or dictionary approaches. This paper presents an automatic Semantic Network Analysis method for extracting framing. This method consists of four steps. (1) Sentences are analysed syntactically; (2) Semantic relations are extracted from the syntactic structure; (3) actors and issues are identified in these semantic relations yielding a semantic network of relations between actors and issues; and (4) the frames are extracted from this semantic network. The method is tested by analysing the framing of the 2008-2009 Gaza war by the international news media, comparing the automatically extracted frames with a manually coded gold standard. Three of four frames had strong reliability (α > .7) and one frame had moderate reliability (α = 0.58). This paves the way for more large scale quantitative content analysis studies of framing effects and dynamics.
UR - http://www.scopus.com/inward/record.url?scp=84883083117&partnerID=8YFLogxK
U2 - 10.1145/2464464.2464504
DO - 10.1145/2464464.2464504
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AN - SCOPUS:84883083117
SN - 9781450318891
T3 - Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13
SP - 423
EP - 430
BT - Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13
PB - Association for Computing Machinery
T2 - 3rd Annual ACM Web Science Conference, WebSci 2013
Y2 - 2 May 2013 through 4 May 2013
ER -