A single-case reflection proposes five interacting 'forces' — data, people, stories, context, and the atlas — that shape visualization atlas design.
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2 Pith papers cite this work, alongside 4,439 external citations. Polarity classification is still indexing.
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Attitude-congruent AI dialogues reduce immediate affective and opinion polarization more than incongruent ones, while incongruent dialogues increase cognitive trait empathy over two weeks.
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Designing a Visualization Atlas: Lessons & Reflections from The UK Co-Benefits Atlas for Climate Mitigation
A single-case reflection proposes five interacting 'forces' — data, people, stories, context, and the atlas — that shape visualization atlas design.
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Divergent Paths to Depolarization: Dialogue Design Determines the Prosocial Benefits of AI-Assisted Political Argumentation
Attitude-congruent AI dialogues reduce immediate affective and opinion polarization more than incongruent ones, while incongruent dialogues increase cognitive trait empathy over two weeks.