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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Harassment in Video Games : An Observational Study in an Online Multiplayer Video Game on Frequency, Categories, and Targets

Kopp, Felicia Mercedes January 2024 (has links)
Background: Harassment is defined and labelled differently in different studies. In the context of video games it has been investigated multiple ways: diary studies, interviews, surveys and screen recordings. Methods: Video data through participating observation were conducted from the end of February 2024 to the beginning of April 2024. A total of 24 matches, with 219 participants, were recorded. The questions of how often harassment occurs, which of the five defined types of harassment occur, whether there are differences between game modes, what differences there are in terms of the reaction to harassment, and whether there are gender differences in terms of the victims, were investigated. Results: One third of the matches contained harassment. Offensive harassment occurred most frequently, with harassment occurring more frequently in competitive game mode and demonstrating a wider range of harassment. In most cases, harassment is focussed either on the player's own team or on the opposing team. The range of harassment within a team is also greater than when harassment is directed at the opposing team. In competitive game mode, harassment is mainly focussed on the own team. Conclusions: The results of the study support the findings of other studies. They also indicate that harassment in video games should be investigated with a larger number of influencing factors. In particular, the methodology used closes a research gap and could ensure a better insight into the different types of harassment without collecting the data through third parties and thus presumably causing bias.

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