Removing Communication Biases in Interpersonal Violence with Instructions (Preprint)

Author:

Sikström SverkerORCID,Dahl MatsORCID,Claesdotter-Knutsson EmmaORCID,Zamani Nasrin

Abstract

BACKGROUND

Intimate partner violence is a serious public health concern worldwide. According to WHO (2012), behavior in intimate relationships that causes psychological, physical, or sexual harm to the participant is defined as ‘intimate partner violence’ (IPV)

OBJECTIVE

To interpret and evaluate the narratives of victims of violence in intimate relationships is essential to maintain a high level of legal certainty. The present study investigates to what extent it is possible to mitigate the biases found when communicating the severity of violence experienced in a relationship with another person. Three types of communication biases (perceptual differences) were hypothesised (calibration, accuracy, gender), and the purpose was to remove, or mitigate, these biases with ‘debiasing’ information.

METHODS

A narrative describing physical and psychological intimate partner violence (IPV) collected in Sikström et al. 2023 was used. Narratives were paired with a sentence stating the extent of the biases found in earlier studies under five conditions: control condition (no debiasing information); three conditions with debiasing information related to the calibration, accuracy, and gender biases separately; and a fifth condition combining the information from the three aforementioned conditions.

RESULTS

The results showed that debiased information did not mitigate biases. The results partly replicated earlier findings of calibration bias for physical—but not for psychological—narratives. An accuracy bias was also found, but no gender bias was identified.

CONCLUSIONS

The results indicate that biases are robust when confronted with information aimed at removing said biases.

CLINICALTRIAL

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3