Automating Frame Analysis Antonio Sanfilippo, Lyndsey Franklin, Stephen Tratz, Gary Danielson, Nick...
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Transcript of Automating Frame Analysis Antonio Sanfilippo, Lyndsey Franklin, Stephen Tratz, Gary Danielson, Nick...
Automating Frame AnalysisAntonio Sanfilippo, Lyndsey Franklin, Stephen Tratz, Gary Danielson, Nick Mileson, Rick Riensche, Liam
McGrath
Pacific Northwest National Laboratory
Overview
Review of Frame Analysis Automating frame annotation An application of automated Frame Analysis Ongoing and future developments
Frame Analysis: What is it? What is it for?
Frame Analysis focuses on how people understand situations through the analysis of communicative and mental processes to explain How communication sources
construct issues to influence target audiences, e.g. framing suicide bombing as “martyrdom”
How the target audiences respond to framing, e.g. degree of resonance
Recognizing framing intent leads to an understanding of the goals of the communication source
A brief history of Frame Analysis
Approach pioneered by Goffman in 1974 has become an important analytical components across the social sciences
Strongest impact on the study of social movements Renewed interest in the social psychology of collective action in the early 1980s led to further work which strengthened Goffman’s initial insights
Frame Analysis is now a main component in theories of social movement
Our objectives in automating Frame Analysis
Despite great recent theoretical advances, there still is no systematic method to identify and marshal frame evidence in a time/cost effective manner
Address current limitations in the representation, acquisition and analysis of frame evidence Leverage complementary approaches to Frame Analysis Combine theoretical insights from Frame Analysis and
Linguistics with Information Extraction capabilities and Content Analysis methods
Frame Analysis components
Collective action frames Social movement entrepreneurs offer a strategic
interpretation of issues, e.g.“Islam is the solution” proclaimed Akef
Create inter-subjective meaning to recruit and mobilize people for the promotion of movement goals, e.g. establish Shar’iah law
Frame resonance (not the focus of this talk) Describes the relationship between a collective action frame,
the target audience, and the broader cultural context E.g. credibility of the frame and its promoter, relevance of the
frame to the target audience, frame consistency
Theories of collective action frames
Gamson Snow and Benford Injustice: identify individuals or institution to blame for grievances Identity: specify aggrieved group with reference to shared interests and values Agency: recognize that grieving conditions can be changed through activism
Diagnostic frame: tell new recruits what is wrong and why Prognostic frame: present a solution to the diagnosed problem Motivational frame: give people a reason to join collective action
EntmanSubstantive frame functions Substantive frame foci
Defining effects or conditions as problematic Identifying causes Conveying moral judgment Endorsing remedies or improvements
Political events Issues Actors
Frame representation: “intelligent union” approach
PROMOTER used by Snow and Benford corresponds to the result of
Gamson’s identity frame function overlaps with Entman’s notion of
actors COMMUNICATIVE INTENT
implicit in the frame classification of Gamson (injustice, identity, agency) and Snow and Benford (diagnostic, prognostic, motivational)
TARGET corresponds to the result of
Gamson’s injustice frame function ISSUES
as in Entman
GROUP-X denounces the insistence of the security apparatus on terrorizing innocent people and on using the emergency law against honest COUNTRY-X citizens, through its campaign of raids and detentions against GROUP-X in the governorates of LOCATIONS A, B, C, and D.
PROMOTER
INTENT
TARGET
ISSUES POLITICS SOCIAL LAW SECURITY
A methodology that promotes objectivity and automation
INTENT is further broken down into 15 speech act classes ASSERT, BELIEVE, CRITICIZE, EXPLAIN, REQUEST, … Each INTENT class has various lexical realizations (from
WordNet)
We distinguish 9 types of ISSUES SECURITY, RELIGION, POLITICS, SOCIAL, LAW, MILITARY, … Each ISSUE has a list of lexical realizations (from WordNet
Domains)
INTENT CRITICIZE
Lexical realizations
accuse, blame, calumniate, charge, condemn, criticize, denigrate, deplore, impeach, incriminate, lambast, malign, …
A methodology which can be effectively evaluated
Four human subjects edited frame annotations automatically assigned to 30 documents
The annotation judgments of the four annotators were compared and assessed for agreement using the kappa test
Fleiss kappa test: group of four annotators
Ratings Kappa z-score
1660 0.499 46.2
Cohen kappa test: six pairs or annotators
Average Ratings Average Kappa Average z-score
1700 0.70 28.68
Frame extraction
Designed and implemented fully automatic extraction algorithm to find frames in naturally occurring text See Sanfilippo et al. (2007) for details
Evaluating automatic frame extraction
Used kappa and precision/recall tests to evaluate of manually and automatically assigned annotations to 30 documentsCohen kappa test: human vs. computer (four pairs)
Average Ratings Average Kappa Average z-score
1674 0.52 z = 21
Fleiss kappa test: four human annotators plus computer
Ratings Kappa z-score
1433 0.422 50.5
#Correct #Incorrect Precision Recall F1157 43 0.785 0.698 0.739
(frame detection)
Analyzing frame evidence
Developed a semantically-driven and visually interactive search environment to query and quantify frame evidence
Using Frame Analysis to support predictive intelligence
At the year X elections Group-X (a radical religious group) tripled the number of seats previously occupied to become the largest opposition bloc in the parliament
Assess whether Group-X will adopt more secular views, or the recent electoral success will lead to increased
radicalization
Process
Harvested 619 documents from Group Y official website for years X and X+1
Processed documents with frame extraction pipeline Loaded the results into the frame search environment Issued semantic queries to identify
Negotiation frames: accept, explain, support, etc. Contentious frames: accuse, criticize, correct, reject, etc.
Frame query results
Contentious Frames Negotiation Frames z-score
Year-X 24% 14% 2.28
Year-X+1 35% 10% 6.16
z-score 2.40 1.22
Conclusions and further work
Our approach enables the analysis of messaging strategies from document collections in a time and cost effective fashion
Current and future work Frame Analysis with direct unreported speech (ongoing) Frame Resonance (planned)