Automating frame analysis

Antonio Sanfilippo, Lyndsey Franklin, Stephen Tratz, Gary Danielson, Nicholas Mileson, Roderick Riensche, Liam McGrath

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Frame Analysis has come to play an increasingly stronger role in the study of social movements in Sociology and Political Science. While significant steps have been made in providing a theory of frames and framing, a systematic characterization of the frame concept is still largely lacking and there are no recognized criteria and methods that can be used to identify and marshal frame evidence reliably and in a time and cost effective manner. Consequently, current Frame Analysis work is still too reliant on manual annotation and subjective interpretation. The goal of this paper is to present an approach to the representation, acquisition and analysis of frame evidence which leverages Content Analysis, Information Extraction and Semantic Search methods to automate frame annotation and provide a systematic treatment of Frame Analysis.

Original languageEnglish
Title of host publicationSocial Computing, Behavioral Modeling, and Prediction, 2008
EditorsJohn J. Salerno, Michael J. Young, Huan Liu
PublisherSpringer
Number of pages1
ISBN (Print)9780387776712
DOIs
Publication statusPublished - 1 Jan 2008
Event1st International workshop on Social Computing, Behavioral Modeling and Prediction, 2008 - Phoenix, United States
Duration: 1 Apr 20082 Apr 2008

Publication series

NameSocial Computing, Behavioral Modeling, and Prediction, 2008

Conference

Conference1st International workshop on Social Computing, Behavioral Modeling and Prediction, 2008
CountryUnited States
CityPhoenix
Period1/4/082/4/08

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ASJC Scopus subject areas

  • Modelling and Simulation

Cite this

Sanfilippo, A., Franklin, L., Tratz, S., Danielson, G., Mileson, N., Riensche, R., & McGrath, L. (2008). Automating frame analysis. In J. J. Salerno, M. J. Young, & H. Liu (Eds.), Social Computing, Behavioral Modeling, and Prediction, 2008 (Social Computing, Behavioral Modeling, and Prediction, 2008). Springer. https://doi.org/10.1007/978-0-387-77672-9_26