Keywords: Framing, Topic Aspects, Communication Frames, Multi-Agent Framework
Abstract: In social media discourse, the framing of a topic dictates the way opinions are formed. This paper presents two multi-agent frameworks: one for discovering what topic aspects are framed, and another for identifying how they are framed. This enables an analysis of a topic's discourse that reveals what framings are dominant while also providing an interpretation of the framings. Experiments across four different topics show promising results for discovering, articulating and analyzing framings, providing a novel understanding of controversial topics.
Paper Type: Long
Research Area: Computational Social Science, Cultural Analytics, and NLP for Social Good
Research Area Keywords: frame detection and analysis, NLP tools for social analysis, quantitative analyses of news and/or social media
Contribution Types: Position papers
Languages Studied: English
Submission Number: 6963
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