在线话语中的道德判断不受性别偏见
Lorenzo Betti1,2, Paolo Bajardi3, Gianmarco De Francisci Morales3
1ISI Foundation, 10126, Turin, Italy. lrn.betti@gmail.com.
Scientific reports
|July 2, 2025
概括
这项研究发现在线道德判断中没有直接的性别偏见,除了在关系环境中,男性面临更严厉的批评. 研究结果表明,性别角色会影响特定的社会情况.
科学领域:
- 社会心理学 社会心理学
- 计算社会科学 计算社会科学
- 社会学 社会学 社会学
背景情况:
- 性别角色和社会规范塑造了特定于性别的行为,并影响了道德判断.
- 以前关于判断中的性别偏见的研究往往依赖于受控实验,可能会限制现实世界的适用性.
研究的目的:
- 调查主角自我披露的性别对大规模,现实世界的在线社区道德判断的影响.
- 检查道德判断中的性别偏见是否在不同的社会背景下有所不同.
主要方法:
- 利用机器学习来分析来自Reddit /r/AITA社区 (1700万成员) 的数据.
- 与类似情况相匹配的故事,只在主角的性别上有所不同,以隔离性别的影响.
- 采用计算技术来评估主角所收到的道德判断.
主要成果:
- 在大多数情况下,主角性别对道德判断没有直接的因果关系.
- 在"友和关系"叙述中观察到一个例外,其中男性主角得到了更负面的判断.
- 性别偏见似乎取决于背景,特定的社会情况放大了它的影响.
结论:
- 性别角色可能会在特定的社会背景下对道德判断产生更大的影响,例如关系问题.
- 这些发现有助于理解性别和道德判断的社会学构造.
- 突出了大型数据集中的潜在偏差,包括用于训练AI语言模型的数据集.
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