Year: 2024
Type: article
Abstract: This study examined the types of hate speech towards female game players in Valorant on the North American (NA) server. The data was collected from 36 videos (out of 1,254) from seven female YouTube channels between 2020 and 2023, where hate speech occurred during gameplay. This study utilizes a combination of quantitative and qualitative research methods. The researchers created precoding schemes based on Bahador’s (2023) framework of hate speech. Moreover, the researchers identified types of discrimination reflected through hate speech inspired by Kowert’s (2020) model. The findings show that the most common type of hate speech was “Negative character” (37%), followed by “Disagreement” (24%) and “Negative action” (20%). Less frequent types included “Demonizing and Dehumanizing” (16%), while “Death” and “Violence” each appeared in only 1% of cases. Five types of discrimination were identified: Offensive name calling, Trolling/Griefing, Sexual harassment, Sexual assault, and Threats of physical violence. Notably, instances of hate speech can be categorized into more than one type of discrimination categories. These findings highlight the current state of online gaming, particularly the discrimination faced by female game players. They can raise awareness among victims, parents, influencers, and the gaming industry to detect hate speech effectively.
Institution: Burapha University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405792072