Description of original award (Fiscal Year 2018, $714,199)
The purpose of this study is to identify signaling in narratives of police officers sexual assault reports that influence subsequent decision making, case flow, and attrition. Signaling is defined as information conveyed by responding officers in the narratives of police reports regarding a victims creditability and rape-myth adherence. The goal is to better understand if and how responding officers written reports in sexual assault cases impact investigating officers decision making and how cases proceed, or fail to proceed, in the criminal justice process. The objective of the proposed study is to explore the first step in the investigative process to reveal facilitators and barriers to sexual assault cases reaching a successful disposition. The team will use text mining and machine learning methods using state-of-the-art software for natural language processing and advanced statistical analyses to evaluate the narratives of over 6,300 police reports of sexual assaults where victims had sexual assault kits collected in one large, urban jurisdiction over the span of nearly two decades (1993 through 2009). These reports will be analyzed using two computational methods: 1) topic modeling, a statistical approach to identifying and coding latent topics and 2) sentiment analysis, which involves identifying positive and negative opinions, emotions, and attitudes. The three research questions driving this study include: to what extent do sentiments in the responding officers narratives reveal positive or negative signaling of victims credibility; to what extent are the topics and sentiments in the responding officers narratives different in cases with increased investigative activity compared to those with less; to what extent are both the topics and sentiments in the responding officers narratives different for cases that were successfully investigated and prosecuted compared to those that were not?
"Note: This project contains a research and/or development component, as defined in applicable law," and complies with Part 200 Uniform Requirements - 2 CFR 200.210(a)(14).