Exploring Gender and Racial/Ethnic Bias Against Video Game Streamers: Comparing Perceived Gameplay Skill and Viewer Engagement

December 01, 2023 Β· Declared Dead Β· πŸ› International Conference on Foundations of Digital Games

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors David V. Nguyen, Edward F. Melcer, Deanne Adams arXiv ID 2312.00610 Category cs.HC: Human-Computer Interaction Citations 1 Venue International Conference on Foundations of Digital Games Last Checked 4 months ago
Abstract
Research suggests there is a perception that females and underrepresented racial/ethnic minorities have worse gameplay skills and produce less engaging video game streaming content. This bias might impact streamers' audience size, viewers' financial patronage of a streamer, streamers' sponsorship offers, etc. However, few studies on this topic use experimental methods. To fill this gap, we conducted a between-subjects survey experiment to examine if viewers are biased against video game streamers based on the streamer's gender or race/ethnicity. 200 survey participants rated the gameplay skill and viewer engagement of an identical gameplay recording. The only change between experimental conditions was the streamer's name who purportedly created the recording. The Dunnett's test found no statistically significant differences in viewer engagement ratings when comparing White male streamers to either White female (p = 0.37), Latino male (p = 0.66), or Asian male (p = 0.09) streamers. Similarly, there were no statistically significant differences in gameplay skill ratings when comparing White male streamers to either White female (p = 0.10), Latino male (p = 1.00), or Asian male (p = 0.59) streamers. Potential contributors to statistically non-significant results and counter-intuitive results (i.e., White females received non-significantly higher ratings than White males) are discussed.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Human-Computer Interaction

Died the same way β€” πŸ‘» Ghosted