Preprints are early versions of research articles that have not been peer reviewed. They should not be regarded as conclusive and should not be reported in news media as established information.
Linguistic analysis of online domestic violence testimonies in the context of COVID-19
preprintposted on 08.10.2021, 17:48 by Valentin BuchnerValentin Buchner, Sharina Hamm, Barbara Medenica, Marc L. Molendijk
Worldwide, an increase in cases and severity of domestic violence (DV) has been reported as a result of the 2019 Coronavirus Disease (COVID-19) pandemic. As one’s language can provide insight in one’s mental health, this study analyzed word use in a DV online support group, aiming to investigate the impact of the COVID-19 pandemic on DV victims. Words reflecting social support and leisure activities were investigated as protective factors against linguistic indicators of depression. 5856 posts were collected from the r/domesticviolence subreddit and two neutral comparison subreddits (r/changemyview & r/femalefashionadvice). In the DV support group, the average number of daily posts increased significantly by 22% from pre-pandemic to mid-pandemic. Confirmatory analysis was conducted following a registered pre-analysis plan. DV victims used significantly more linguistic indicators of depression than individuals in the comparison groups. These linguistic indicators did not change with the onset of COVID-19. The use of negative emotion words was negatively related to the use of social support words (Spearman’s rho correlation coefficient [rho] = -.110) and words referring to leisure activities (rho = -.137). Pre-occupation with COVID-19 was associated with the use of negative emotion words (rho = .148).We conclude that language of DV victims is characterized by indicators of depression and this characteristic is stable over time. Concerns with COVID-19 could contribute to negative emotions, whereas social support and leisure activities could function to some degree as protective factors. A potential weakness of this study could be the limited ability of word count methods to assess the impact of stressors such as COVID-19. Future studies could make use of natural language processing and other advanced methods of linguistic analysis to learn about the mental health of DV victims.
Declaration of conflicts of interestThe authors declare no conflicting interests.
Corresponding author email@example.com
Lead author countryNetherlands
Lead author job rolePostgraduate Student
Lead author institutionLeiden University Department of Clinical Psychology
Ethics statementThe study received approval from the research ethics committee of the psychological institute of Leiden University (number: 2021-03-30-M.L.-Molendijk-V2-3146).
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