Historians use visualizations in five roles—primary-source, evidence-synthesis, communicative, confirmative, and exploratory—but epistemological and practical barriers limit broader adoption.
2025.Nurturing Capabilities: Unpacking the Gap in Human-Centered Evaluations of AI-Based Systems
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
roles
background 1polarities
support 1representative citing papers
DAISY is a structured form tool that generates more complete AI disclosure statements for research papers without reducing author comfort levels.
The authors conduct a systematic literature review and real-world analysis to define Crowdsourced Context Systems and map a six-aspect design space with normative implications.
citing papers explorer
-
How Historians Use Visualization: A Corpus-Backed Taxonomy and Analysis for Cross-Disciplinary Practice
Historians use visualizations in five roles—primary-source, evidence-synthesis, communicative, confirmative, and exploratory—but epistemological and practical barriers limit broader adoption.
-
AI Disclosure with DAISY
DAISY is a structured form tool that generates more complete AI disclosure statements for research papers without reducing author comfort levels.
-
Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems for Social Media
The authors conduct a systematic literature review and real-world analysis to define Crowdsourced Context Systems and map a six-aspect design space with normative implications.