Tag: Computational and Text Analysis Methods
Congress, especially Republicans, uses more security framing in trade policy
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Analysis of US trade discourse from 2001 to 2025 shows Congress uses security framing more than the executive branch, with Republicans in Congress leading the trend.
Swiss COVID-19 discourse framed misinformation differently across media
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Explore how Swiss COVID-19 discourse defines misinformation versus disinformation using NLP analysis. Discover how public narratives reflect societal tensions and information literacy’s role in.
Government and opposition MPs use geographic questions differently
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Opposition and government members use geographic parliamentary questions differently for oversight and representation across democracies. Study reveals strategic distinctions in four countries.
LLM consensus pipeline reduced review filtering effort
Pipeline using multiple language models and consensus voting to reduce manual effort in systematic literature review screening, with human oversight through visual analytics.
People’s Daily and CCTV News used different sentiment strategies on Douyin
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Study analyzing how Chinese state media (People’s Daily and CCTV News) adapt rural revitalization content on Douyin using topic modeling and sentiment analysis to reveal institutional.
Document analysis offers a framework for legal texts
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Methodological framework for document analysis in legal institutions, establishing analytical strategies for authoritative texts with applications to criminal justice research.
Transformer method measures inter-party communication
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Transformer-based approach for automated measurement of inter-party communication in representative democracies, with applications to coalition signals and negative campaigning analysis.
Agenda-setting research expanded through new methods and AI
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Explore how agenda-setting research has evolved since McCombs and Shaw’s 1972 framework, with focus on computational advances and AI-enabled methodologies transforming public policy analysis.
