2 papers
cs.HC2026
Revisiting Framing Codebooks with AI: Employing Large Language Models as Analytical Collaborators in Deductive Content Analysis
Diego Gomez-Zara, Hernán Valdivieso, Jorge Pérez +2
Codebooks are central to framing research, providing theoretically grounded criteria for analyzing news content. While traditionally codebooks are built from theoretical frameworks…
cs.CL2025
User Perception of Attention Visualizations: Effects on Interpretability Across Evidence-Based Medical Documents
Andrés Carvallo, Denis Parra, Peter Brusilovsky +4
The attention mechanism is a core component of the Transformer architecture. Beyond improving performance, attention has been proposed as a mechanism for explainability via attenti…