| Literature DB >> 35645846 |
Liling Zhou1, Ning Han2, Zeran Xu3, Corlyn Brian1, Siraj Hussain4.
Abstract
This research explored the influencing factors of gender swapping among female players in online games and their impact on online gaming behavior. Based on an online survey of 3,658 female players in China, we found that perceived benefits and the Tanbi tendency, a psychological indulgence in enjoying novels, comics, or series on love and sex between attractive males, were the most important factors for female players to employ male avatars. Sexual orientation, perceived anonymity, and perceived tolerance also had a significant influence on gender swapping. Different from the practical benefits perceived by men who use female avatars in online games, the perceived benefit for female players who use male avatars was to avoid gender discrimination. In order to obtain more freedom and fairer treatment, they chose male avatars for a better experience. Female players with a higher degree of gender swapping showed a stronger aggressiveness and dominant "hyper-masculinity" behavior tendency in the game. Though online virtual worlds may be a convenient place for females to experience gender equality through gender swapping, the findings of this study suggest that gender swapping in games may, to some extent, perpetuate or even reinforce gender stereotypes in the real world.Entities:
Keywords: Tanbi; avatar; gender; gender role; gender swapping; online games
Year: 2022 PMID: 35645846 PMCID: PMC9135354 DOI: 10.3389/fpsyg.2022.810954
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Multivariate regression analysis for predicting gender swapping.
| Independent | Dependent variable: gender swapping | |||||
| Unstandardized | Standardized coefficients | Collinearity statistics | ||||
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| B | Std. error | Beta | Tolerance | VIF | ||
| (Constant) | 0.131 | 0.180 | 0.732 | |||
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| autonomy | 0.128 | 0.033 | 0.079 | 3.853 | 0.676 | 1.479 |
| leadership | –0.016 | 0.036 | –0.010 | –0.437 | 0.520 | 1.923 |
| aggressiveness | 0.001 | 0.034 | 0.001 | 0.038 | 0.501 | 1.995 |
| 1.8 | ||||||
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| SO1 (1 = heterosexual) | –0.118 | 0.047 | –0.045 | −2.542 | 0.898 | 1.114 |
| SO2 (1 = same-sex) | 0.347 | 0.086 | 0.073 | 4.045 | 0.891 | 1.122 |
| 0.389 | 0.028 | 0.253 | 13.962 | 0.873 | 1.145 | |
| Increased | 14.0 | |||||
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| ||||||
| Perceived benefits | 0.468 | 0.022 | 0.381 | 21.113 | 0.884 | 1.132 |
| Perceived anonymity | 0.063 | 0.024 | 0.049 | 2.641 | 0.847 | 1.180 |
| Perceived tolerance | 0.113 | 0.026 | 0.078 | 4.281 | 0.863 | 1.159 |
| Increased | 14.8 | |||||
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| 30.6 | |||||
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| 30.3 | |||||
N = 2,428; *p <0.05, **p < 0.01, ***p <0.001.
Correlation analysis summary of gender swapping and three types of hyper-masculine behaviors.
| Variables | Gender | Aggressive | Dominant | Competitive |
| Gender | 1 | 0.043 | 0.039 | −0.011 |
| Aggressive | 0.043 | 1 | 0.562 | 0.298 |
| Dominant | 0.039 | 0.562 | 1 | 0.267 |
| Competitive | −0.011 | 0.298 | 0.267 | 1 |
Sample sizes are shown in the brackets; *p < 0.05, ***p<0.001 (2-tailed).