Reflection Patterns of Emotions Left by Fatal Female Violence in Turkey


Aka A.

ATSK Journal of Sociology, vol.1, no.1, pp.8-22, 2022 (Peer-Reviewed Journal)

  • Publication Type: Article / Article
  • Volume: 1 Issue: 1
  • Publication Date: 2022
  • Journal Name: ATSK Journal of Sociology
  • Page Numbers: pp.8-22

Abstract

In Turkey, in recent years, the escalating increase in fatal violence against women continues to pose a vital challenge. This frightening situation is rapidly pushing some women away from safe living spaces and forcing others to seek new ways to address the problem in digital spaces. In fact, lethal violence against women is often a continuation of general patterns of sexist discrimination against women. It is also a consequence of the persistent violence perpetrated against some women by mechanisms that turn a blind eye to the impunity of perpetrators. In this study[1], three emotions (trust/distrust, hate and fear) obtained from 83 semi-structured questionnaires and tweets about the prevention of femicide in Turkey were analysed. In this context, the study has two interrelated aims. The first of these is to identify and evaluate the deep traces left by fatal female violence in individual and social memory. The second is to discuss the legal, socio-political and individual measures that need to be taken urgently to eliminate this brutal form of punishment. In the study, 79491 tweets were used for quantitative impact analysis and qualitative analysis was conducted on 14214 individual tweets ranked in terms of impact. In addition, the content analysis of the web questionnaire conducted with 83 people was conducted. The most basic finding of the study was that the emotions emerged simultaneously and together and that the emotions of distrust and hatred were closely related to each other, while a very low correlation was observed with the emotion of fear.



[1] "Reading the Panoptic Effects of Femicide on Twitter: The Case of Turkey" was supported by Çanakkale Onsekiz Mart University Scientific Research Projects Coordination Unit. Project Number: 3186, code: SBA-2020."