Citation

Vizcaíno-Cuenca R, Romero-Sánchez M, Carretero-Dios H. J. Interpers. Violence 2024; ePub(ePub): ePub.

Copyright

(Copyright © 2024, SAGE Publishing)

DOI

10.1177/08862605231222876

PMID

38243759

Abstract

Cyber-sexual violence is a prevalent and harmful form of aggression committed against women, yet little attention has been paid to the attitudes about cyber-sexual violence. This research therefore aimed to explore the negative attitudes or myths that serve to justify, minimize, and deny the experiences of cyber-sexual violence disclosed by women on Twitter. Using a thematic analysis, we analyzed 4,048 replies to 18 experiences reported on Twitter around the time of the International Day for the Elimination of Violence against Women. After the data were cleaned and coded, the results revealed 18 myths about cyber-sexual violence, grouped into four main themes: (1) minimization/conceptualization, (2) victim blaming, (3) factors related to the diffusion context, and (4) exonerating the perpetrator's responsibility. This study constitutes the first attempt to analyze the myths surrounding cyber-sexual violence on Twitter, including content areas not yet addressed in the literature, such as contextual factors. Strikingly, most of the analyzed reactions appeared to deny and downplay the importance of sexually aggressive behaviors perpetrated against women online, suggesting that these beliefs could influence the underreporting of cyber-sexual violence. Based on these data, it was concluded that while Twitter can serve as a useful "loudspeaker" for victims, it is also a mechanism by which myths about cyber-sexual violence can be supported and disseminated. Finally, it highlights the importance to consider the influence of online cultural frame on the social perception of cyber-sexual violence and point out the specific beliefs that educators, researches and psychologist could work though psychoeducational programs.

Language: en

Keywords

social media; cyber-sexual violence; myths; social reactions; thematic analysis