Computational and Text Analysis Methods

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.

Participatory research reveals gaps in deepfake sexual abuse moderation systems and proposes multi-stakeholder infrastructure improvements based on activist and survivor input.

Panel analysis of participatory AI's limits in promoting social justice, examining tensions between localized knowledge production and AI system scalability.

Machine learning analysis identifies which macroeconomic conditions drive presidential approval ratings. Public sector activity, recession timing, and housing markets show distinct temporal dynamics.

Study examining how interactive interface design can promote trustworthy large language model integration in newsrooms, identifying five key challenges and prototyping solutions.

Comprehensive dataset of 160,000+ UN Security Council speeches from 1946-2024 in machine-readable format, enabling analysis of security norms and institutional discourse evolution.

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.

Framework replacing traditional coding with iterative dialogue between researchers and language models for qualitative analysis, grounded in hermeneutic epistemology.

Opposition and government members use geographic parliamentary questions differently for oversight and representation across democracies. Study reveals strategic distinctions in four countries.

Pipeline using multiple language models and consensus voting to reduce manual effort in systematic literature review screening, with human oversight through visual analytics.

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.

Study examines how Japanese Twitter users' attitudes toward price increases shifted after 2021, revealing erosion of decades-old deflationary norms and growing acceptance of inflation.

Study examines how major AI companies implement guardrails as sociotechnical control mechanisms, revealing how code and language jointly regulate discourse in large language models.

Methodological framework for document analysis in legal institutions, establishing analytical strategies for authoritative texts with applications to criminal justice research.

Learn to integrate large language models into qualitative research with AI4Qual. Master LLM-supported interviewing, coding, and thematic analysis through evidence-based guidance and practical tools.

Transformer-based approach for automated measurement of inter-party communication in representative democracies, with applications to coalition signals and negative campaigning analysis.

Explore a typological framework for comparative political party archival research, addressing methodological barriers and heterogeneity across institutional contexts for social scientists.

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.