Concept: Computational and Text Analysis Methods
Deepfake, Real Harm: A Participatory Approach for Imagining Infrastructures to Combat Deepfake Sexual Abuse
Redesigning moderation systems with activists to prevent deepfake sexual abuse
Participatory AI & Social Justice
Examining participatory AI's effectiveness in addressing harms to marginalized communities
Decoding economic determinants of presidential approval: insights from macro-level machine learning models
Economic factors driving U.S. presidential approval, 1953-2023
Breaking News or Breaking Trust? Exploring Challenges and a Design Space for Trustworthy LLM Integration in Journalism
Designing AI tools that support rather than undermine journalistic verification practices
Analyzing Misinformation and Disinformation: Understanding Swiss COVID-19 Narratives Through Natural Language Processing Analysis
How Swiss COVID-19 public discourse defines misinformation and disinformation
From Coding to Conversation: A New Methodological Framework for AI-Assisted Qualitative Analysis
Replacing coding with AI-assisted dialogue for qualitative data analysis
Control or Representation? Government‐Opposition Dynamics and the Use of Geographic Parliamentary Questions
How government and opposition lawmakers use geographic references in parliamentary questions
Leveraging LLMs for semi-automatic corpus filtration in systematic literature reviews
AI-assisted paper filtering for systematic literature reviews
