This article examines the impact of new AI‐related technologies in data mining and big data
on important research questions in crime analytics. Because the field is so broad, the review …

Domestic violence (DV) is a public health crisis that threatens both the mental and physical
health of people. With the unprecedented surge in data available on the internet and …

Purpose The first of two articles from a larger study whose aim was to teach a computer to
detect innuendo (or signaling) about a victim's credibility in incident reports of rape. This …

In Australia, domestic violence reports are mostly based on data from the police, courts,
hospitals, and ad hoc surveys. However, gaps exist in reporting information such as victim …

Purpose The second of two articles from a larger study whose aim was to teach a computer
to detect innuendo (or signaling) about a victim's credibility in incident reports of rape. This …

This study aims to examine the association between exposure to domestic violence and
mental health outcomes, such as symptoms of depression and anxiety among married …

Background setting Domestic violence (DV) perpetrated against male victims has received
little attention in the literature, since men are generally the perpetrators rather than victims of …

Aim Few studies have examined the characteristics of domestic violence (DV) committed by
people with dementia. We provide an overview of DV perpetrated by people with dementia …

Text mining and related analytics emerge as a technological approach to support human
activities in extracting useful knowledge through texts in several formats. From a managerial …

Following the EU Victim Directive, Dutch police officers are obliged to assess a victim's
vulnerability to repeat victimization. This study explored the utility of unstructured police …