PVPS classifier predicts identity-specific evaluations of political images and demonstrates that accounting for audience identity changes conclusions about visual sentiment in protest studies.
Proceedings of the 40th International Conference on Machine Learning (ICML) , year =
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Geopolitical bias in LLMs is introduced during post-training rather than pre-training and is amplified by prompt language.
citing papers explorer
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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.
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It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amplified by the language of the prompt
Geopolitical bias in LLMs is introduced during post-training rather than pre-training and is amplified by prompt language.