误导计数:基于身份的干预措施,以应对党派错误信息共享
Clara Pretus1,2, Ali M Javeed3, Diána Hughes3
1Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain.
概括
社交媒体用户在显示"误导"数量时,分享不准确的党派信息减少了25%,反映了群体内部规范. 这种基于身份的干预证明比标准的准确性推动更有效.
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
- 沟通研究 沟通研究
背景情况:
- 社交媒体上的错误信息,特别是两极分化的内容,构成了重大挑战.
- 现有的干预措施往往很难有效地缓解这种内容的传播.
- 以身份为基础的干预,利用社会规范,可能会提供更有效的解决方案.
研究的目的:
- 测试一种基于身份的干预措施,旨在减少社交媒体上分享不准确信息.
- 评估将规范性线索,特别是"误导"计数,纳入用户界面的有效性.
- 为了比较内部群体与一般用户规范的有效性,并与其他错误信息干预措施进行对比.
主要方法:
- 在美国 (N=1709) 和英国 (N=804) 的参与者进行了三项预先注册的实验.
- 实施了基于身份的干预,显示了"误导"计数以及"喜欢"计数.
- 测量了参与者分享有关党派问题的不准确信息的可能性,并与对照组进行了比较.
主要成果:
- "误导"计数干预将报告的分享不准确党派信息的可能性降低了25%.
- 在美国背景下,群体内部规范 (例如,民主党/共和党同胞) 比一般用户规范更有效.
- 基于身份的干预比标准的准确性推推干预有效约五倍.
结论:
- 基于社会规范科学的基于身份的干预措施可以有效地应对两极分化的社会中的党派错误信息.
- 为准确性展示集团内部的规范性线索是提高干预有效性的有希望的策略.
- 这种方法为打击在线虚假信息提供了与身份中立干预措施的更强有力的替代方案.
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