DocumentCode
3125241
Title
Agile detection of framing rhetoric in social media
Author
Glass, Kristin ; Colbaugh, Richard
Author_Institution
New Mexico Inst. of Min. & Technol., Socorro, NM, USA
fYear
2012
fDate
11-14 June 2012
Firstpage
120
Lastpage
122
Abstract
A frame in social theory is a schema of interpretation that individuals rely upon to understand and respond to events. Collective action frames are persuasive communications constructed during mobilization campaigns, frequently to call attention to a perceived problem or issue, itemize steps to resolve the issue, and motivate others regarding the issue´s urgency and the importance of taking action [e.g. 1]. There is substantial empirical evidence that framing rhetoric influences the success or failure of social movements, and that movement members are increasingly relying upon social media to communicate their frames. Consequently, there is considerable interest within the security informatics community to develop methods for detecting framing rhetoric in social (and other) media [2]. Particularly valuable would be computational methods capable of distinguishing framing from non-framing content using only limited labeled examples of framing discourse, because generating such labels typically requires experienced analysts and is an expensive and time-consuming undertaking.
Keywords
graph theory; pattern classification; social networking (online); text analysis; agile framing rhetoric detection; bipartite document graph; collective action frames; mobilization campaigns; persuasive communications; security informatics community; social media; social movements; social theory; text classification; Algorithm design and analysis; Classification algorithms; Media; Rhetoric; Security; Support vector machine classification; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence and Security Informatics (ISI), 2012 IEEE International Conference on
Conference_Location
Arlington, VA
Print_ISBN
978-1-4673-2105-1
Type
conf
DOI
10.1109/ISI.2012.6284103
Filename
6284103
Link To Document