Automating frame analysis

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

doi:10.1007/978-0-387-77672-9_26

Automating frame analysis

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

Pacific Northwest National Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 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 language	English
Title of host publication	Social Computing, Behavioral Modeling, and Prediction, 2008
Editors	John J. Salerno, Michael J. Young, Huan Liu
Publisher	Springer
Pages	239
Number of pages	1
ISBN (Print)	9780387776712
DOIs	https://doi.org/10.1007/978-0-387-77672-9_26
Publication status	Published - 2008
Externally published	Yes
Event	1st International workshop on Social Computing, Behavioral Modeling and Prediction, 2008 - Phoenix, United States Duration: 1 Apr 2008 → 2 Apr 2008

Publication series

Name	Social Computing, Behavioral Modeling, and Prediction, 2008

Conference

Conference	1st International workshop on Social Computing, Behavioral Modeling and Prediction, 2008
Country/Territory	United States
City	Phoenix
Period	1/04/08 → 2/04/08

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10.1007/978-0-387-77672-9_26

Cite this

@inproceedings{aa5664e36ee0452aac337246ddfbefaf,

title = "Automating frame analysis",

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.",

author = "Antonio Sanfilippo and Lyndsey Franklin and Stephen Tratz and Gary Danielson and Nicholas Mileson and Roderick Riensche and Liam McGrath",

note = "Publisher Copyright: {\textcopyright} 2008 Springer Science+Business Media, LLC.; 1st International workshop on Social Computing, Behavioral Modeling and Prediction, 2008 ; Conference date: 01-04-2008 Through 02-04-2008",

year = "2008",

doi = "10.1007/978-0-387-77672-9_26",

language = "English",

isbn = "9780387776712",

series = "Social Computing, Behavioral Modeling, and Prediction, 2008",

publisher = "Springer",

pages = "239",

editor = "Salerno, {John J.} and Young, {Michael J.} and Huan Liu",

booktitle = "Social Computing, Behavioral Modeling, and Prediction, 2008",

address = "Germany",

}

Sanfilippo, A, Franklin, L, Tratz, S, Danielson, G, Mileson, N, Riensche, R & McGrath, L 2008, Automating frame analysis. in JJ Salerno, MJ Young & H Liu (eds), Social Computing, Behavioral Modeling, and Prediction, 2008. Social Computing, Behavioral Modeling, and Prediction, 2008, Springer, pp. 239, 1st International workshop on Social Computing, Behavioral Modeling and Prediction, 2008, Phoenix, United States, 1/04/08. https://doi.org/10.1007/978-0-387-77672-9_26

Automating frame analysis. / Sanfilippo, Antonio; Franklin, Lyndsey; Tratz, Stephen et al.
Social Computing, Behavioral Modeling, and Prediction, 2008. ed. / John J. Salerno; Michael J. Young; Huan Liu. Springer, 2008. p. 239 (Social Computing, Behavioral Modeling, and Prediction, 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automating frame analysis

AU - Sanfilippo, Antonio

AU - Franklin, Lyndsey

AU - Tratz, Stephen

AU - Danielson, Gary

AU - Mileson, Nicholas

AU - Riensche, Roderick

AU - McGrath, Liam

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

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U2 - 10.1007/978-0-387-77672-9_26

DO - 10.1007/978-0-387-77672-9_26

M3 - Conference contribution

AN - SCOPUS:44849134296

SN - 9780387776712

T3 - Social Computing, Behavioral Modeling, and Prediction, 2008

SP - 239

BT - Social Computing, Behavioral Modeling, and Prediction, 2008

A2 - Salerno, John J.

A2 - Young, Michael J.

A2 - Liu, Huan

PB - Springer

T2 - 1st International workshop on Social Computing, Behavioral Modeling and Prediction, 2008

Y2 - 1 April 2008 through 2 April 2008

ER -

Automating frame analysis

Abstract

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