Text mining domestic violence police narratives to identify behaviours linked to coercive control

Domestic and family violence (DFV) is a significant societal problem that predominantly affects women and children. One behaviour that has been linked to DFV perpetration is coercive control. While various definitions have been proposed, it involves “acts of assault, threats, humiliation and intimidation or other abuse that is used to harm, punish, or frighten a victim” ranging from emotional to social and financial abuse. One potentially rich source of information on coercive control are police reports. In this paper we determine whether it is possible to automatically identify behaviours linked to coercive control from DFV police reports and present the prevalence of such behaviours by age and sex.

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