错误信息来源的可信度会抑制社交媒体上的纠正信息的有效性
Huai-Kuan Zeng1, Shih-Yu Lo1, Shu-Chu Sarrina Li1
1National Yang Ming Chiao Tung University.
Public understanding of science (Bristol, England)
|December 31, 2023
概括
同行纠正比算法纠正更有效,用于打击在线低可信度错误信息. 这一发现为设计更好的社交媒体纠正信息提供了洞察力,以减少错误信息的态度.
科学领域:
- 社会心理学 社会心理学
- 沟通研究 沟通研究
- 信息科学 信息科学 信息科学
背景情况:
- 社交媒体上的错误信息构成了重大的社会挑战.
- 了解纠正信息如何影响人们对错误信息的态度至关重要.
研究的目的:
- 调查纠正信息的特征如何调节人们对网上错误信息的态度.
- 为了比较算法与同行校正的有效性.
- 检查事实阐述与简单反驳纠正类型之间的影响.
主要方法:
- 进行了一次2x2x2对象间实验.
- 操纵错误信息来源的可信度 (高与低).
- 操纵的纠正消息源 (算法与同行) 和纠正类型 (事实阐述与简单反驳).
主要成果:
- 同行纠正比算法纠正更有效,减少人们对低可信度错误信息的可信度和负面态度.
- 对于具有高可信度的错误信息,同行纠正提高了人们对错误信息的看法可信度,但并没有改善人们对错误信息的态度.
- 关于事实核查倾向,没有发现强有力的相互作用效应.
结论:
- 同行纠正在减轻低可信度错误信息的影响方面表现出更大的有效性.
- 消息设计策略应该考虑错误信息的来源可信度,在编写纠正时.
- 调查结果有助于制定更有效的干预措施来打击在线虚假信息.
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