Tootfinder

Data Humanism Decoded: A Characterization of its Principles to Bridge Data Visualization Researchers and Practitioners
Ibrahim Al-Hazwani, Ke Er Zhang, Laura Garrison, J\"urgen Bernard
https://arxiv.org/abs/2509.00440

Data Humanism Decoded: A Characterization of its Principles to Bridge Data Visualization Researchers and Practitioners
Data Humanism is a human-centered design approach that emphasizes the personal, contextual, and imperfect nature of data. Despite its growing influence among practitioners, the 13 principles outlined in Giorgia Lupi's visual manifesto remain loosely defined in research contexts, creating a gap between design practice and systematic application. Through a mixed-methods approach, including a systematic literature review, multimedia analysis, and expert interviews, we present a characterization of…

Deconstructing Implicit Beliefs in Visual Data Journalism: Unstable Meanings Behind Data as Truth & Design for Insight
Ke Er Amy Zhang, Jodie Jenkinson, Laura Garrison
https://arxiv.org/abs/2507.12377

Deconstructing Implicit Beliefs in Visual Data Journalism: Unstable Meanings Behind Data as Truth & Design for Insight
We conduct a deconstructive reading of a qualitative interview study with 17 visual data journalists from newsrooms across the globe. We borrow a deconstruction approach from literary critique to explore the instability of meaning in language and reveal implicit beliefs in words and ideas. Through our analysis we surface two sets of opposing implicit beliefs in visual data journalism: objectivity/subjectivity and humanism/mechanism. We contextualize these beliefs through a genealogical analysis…