  We develop computational models to analyze court statements in order to
assess judicial attitudes toward victims of sexual violence in the Israeli
court system. The study examines the resonance of "rape myths" in the criminal
justice system's response to sex crimes, in particular in judicial assessment
of victim's credibility. We begin by formulating an ontology for evaluating
judicial attitudes toward victim's credibility, with eight ordinal labels and
binary categorizations. Second, we curate a manually annotated dataset for
judicial assessments of victim's credibility in the Hebrew language, as well as
a model that can extract credibility labels from court cases. The dataset
consists of 855 verdict decision documents in sexual assault cases from
1990-2021, annotated with the help of legal experts and trained law students.
The model uses a combined approach of syntactic and latent structures to find
sentences that convey the judge's attitude towards the victim and classify them
according to the credibility label set. Our ontology, data, and models will be
made available upon request, in the hope they spur future progress in this
judicial important task.

Computation and Language