Papers by Pemi Nguyen

1 papers
Misinfo Reaction Frames: Reasoning about Readers’ Reactions to News Headlines (2022.acl-long)

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Challenge: Empirical results confirm that it is indeed possible for neural models to predict the prominent patterns of readers’ reactions to previously unseen news headlines.
Approach: They propose a pragmatic formalism for modeling how readers might react to a news headline . they propose 'misinfo' frames, which can be used to model reader perceptions of news reliability .
Outcome: The proposed model can predict readers' reactions to previously unseen headlines.

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