SuspectGuilt Corpus

Introduced by Kreiss et al. in Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives

A corpus of annotated crime stories from English-language newspapers in the U.S. For SuspectGuilt, annotators read short crime articles and provided text-level ratings concerning the guilt of the main suspect as well as span-level annotations indicating which parts of the story they felt most influenced their ratings. SuspectGuilt thus provides a rich picture of how linguistic choices affect subjective guilt judgments.

Source: Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives

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