Using natural language processing to assess rape reports: “Signaling” words about victims’ credibility that predict investigative and prosecutorial outcomes.

Rachel Elizabeth Lovell; J Klingenstein; J Du; L Overman; D Sabo; X Ye; D J Flannery

Using natural language processing to assess rape reports: “Signaling” words about victims’ credibility that predict investigative and prosecutorial outcomes.

Rachel Elizabeth Lovell
, J Klingenstein
, J Du
, L Overman
, D Sabo
, X Ye
, D J Flannery

Criminology and Sociology

Research output: Contribution to journal › Article

Original language	English
Journal	Journal of Criminal Justice
State	Published - 2023

Cite this

@article{6989e76453de4c24b9032a9915a6dd66,

title = "Using natural language processing to assess rape reports: “Signaling” words about victims{\textquoteright} credibility that predict investigative and prosecutorial outcomes.",

author = "Lovell, \{Rachel Elizabeth\} and J Klingenstein and J Du and L Overman and D Sabo and X Ye and Flannery, \{D J\}",

year = "2023",

language = "English",

journal = "Journal of Criminal Justice",

}

TY - JOUR

T1 - Using natural language processing to assess rape reports: “Signaling” words about victims’ credibility that predict investigative and prosecutorial outcomes.

AU - Lovell, Rachel Elizabeth

AU - Klingenstein, J

AU - Du, J

AU - Overman, L

AU - Sabo, D

AU - Ye, X

AU - Flannery, D J

PY - 2023

Y1 - 2023

M3 - Article

JO - Journal of Criminal Justice

JF - Journal of Criminal Justice

ER -