1,525
Views
2
CrossRef citations to date
0
Altmetric
Articles

The ‘lottery’ of rape reporting: Secondary victimization and Swedish criminal justice professionals

ORCID Icon
Pages 22-41 | Received 17 Aug 2020, Accepted 05 Mar 2021, Published online: 16 Mar 2021
 

ABSTRACT

Research has established the possibility for rape victim-survivors to experience secondary victimization as a result of encounters with the criminal justice system. However, most of this work is based in Anglo-American countries, with less attention to the issue in the Nordic context. In this article, I report on in-depth interviews with Swedish criminal justice professionals and their perspective on investigating and processing sexual violence cases, as well as interviews with professionals who work directly with rape victim-survivors and their external evaluations of the criminal justice system. While there is a general awareness of the need for an empathetic and sensitive response from police officers and support from the victim’s legal counsel, in practice, the process can be a ‘lottery’ for victim-survivors: while some individual police officers and lawyers are dedicated to victim-centred encounters, others are dismissive or hostile. I discuss policy initiatives, including training, specialization, and required competencies, that institutionalize and standardize victim-centred practices to promote a supportive environment for all sexual violence victim-survivors in the Swedish criminal justice system.

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Funding

This work was supported by the American-Scandinavian Foundation [n/a]; Swedish Excellence Endowment, University of Texas at Austin [n/a].

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.