在线敌意,恐吓,淫秽和偏见的意识形态不对称
Vivienne Badaan1, Mark Hoffarth2, Caroline Roper3
1Department of Psychology, American University of Beirut, Beirut, Lebanon. vivienne.badaan@aub.edu.lb.
Scientific reports
|December 15, 2023
概括
保守的社交媒体用户在2016年表达的在线偏见比自由主义者更多,包括威胁,羞辱和刻板印象. 自由派使用了更多的淫语,而这两组都表现出了偏见.
科学领域:
- 计算社会科学 计算社会科学
- 计算语言学 计算语言学
- 政治心理学 政治心理学
背景情况:
- 在线偏见和敌意是重大的社会问题.
- 了解在线沟通中的意识形态差异对于数字公民至关重要.
- 以前的研究已经探讨了政治两极分化,但往往缺乏对特定语言标记的大规模数据驱动分析.
研究的目的:
- 量化和比较保守和自由的社交媒体用户之间极端敌意和各种维度的在线偏见的普遍性.
- 通过机器学习研究在线偏见表达中的意识形态不对称性.
- 测试关于政治意识形态与在线偏见的表现之间的关系的假设.
主要方法:
- 利用机器学习技术分析了来自2016年的73万条Twitter消息的大数据集.
- 在六个方面对网络敌意进行了分类和量化:威胁/恐吓,亵/粗俗,骂人/羞辱,侮辱,刻板印象和负面偏见.
- 使用统计分析来比较自我认同的保守派和自由派用户之间这些语言标记的频率.
主要成果:
- 与自由主义用户相比,保守的用户表现出与威胁,恐吓,骂人,羞辱,刻板印象和负面偏见相关的语言使用率显著更高.
- 自由主义者稍微更容易使用亵和粗俗的话语.
- 保守派对仇恨语言和侮辱的倾向略高.
结论:
- 调查结果表明在网上偏见表达方面存在意识形态不对称,保守派在多个层面上使用更具敌意和偏见的语言.
- 结果与假设自由价值观可能影响沟通风格的理论一致,导致偏见表现的差异.
- 这项研究挑战了在线话语中自由主义者和保守主义者之间的平等偏见水平的概念.
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