Misogyny remains a persistent problem in online gaming communities, particularly on platforms such as Twitch, where female streamers are frequently subjected to explicit and implicit sexism. This study takes a mixed-methods approach, including qualitative text analysis and quantitative sentiment analysis, to investigate the nature and frequency of sexist comments addressed against female streamers. Chat logs from four popular games were examined to detect both blatant disparaging remarks and more subtle signs of gender bias. The statistics show a prevalence of negative emotion against female gamers, with many comments including sexist language, despite Twitch's efforts to regulate such conduct. The findings revealed that explicit misogynistic comments, although less common, were frequently harsh and demeaning but implicit comments subtly objectified and sexualized female streamers. These findings are consistent with previous research emphasizing the prevalence of gender-based harassment in online gaming environments and the systemic nature of misogyny. The study also found that misogyny in gaming is amplified by the anonymity and competitive nature of online platforms, in addition to reflecting social values.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mau-69405 |
| Date | January 2024 |
| Creators | Lemani, Angeliki |
| Publisher | Malmö universitet, Institutionen för kriminologi (KR) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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