Participatory provenance auditing of Canada's AI strategy consultation shows official AI summaries exclude 15-17% of participants more than random baselines, with 33-88% exclusion for dissent clusters.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
PVPS classifier predicts identity-specific evaluations of political images and demonstrates that accounting for audience identity changes conclusions about visual sentiment in protest studies.
citing papers explorer
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Participatory provenance as representational auditing for AI-mediated public consultation
Participatory provenance auditing of Canada's AI strategy consultation shows official AI summaries exclude 15-17% of participants more than random baselines, with 33-88% exclusion for dissent clusters.
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Unpacking the Eye of the Beholder: Social Location, Identity, and the Moving Target of Political Perspectives
PVPS classifier predicts identity-specific evaluations of political images and demonstrates that accounting for audience identity changes conclusions about visual sentiment in protest studies.