由人工智能支持的实时新闻评估揭示了时间限制对错误信息辨别的影响
Shevchenko Yury1, Tom Buchanan2, Ulf-Dietrich Reips3
1Research Methods, Assessment, and iScience, Department of Psychology, University of Konstanz, Universitätsstraße 10, Fach 31, Konstanz, Germany. yury.shevchenko@uni-konstanz.de.
Scientific reports
|February 12, 2026
概括
人们在时间压力下更难辨别虚假新闻. 数字素养和政治满意度等因素有助于识别错误信息,而教条主义和熟悉性可以增加对虚假新闻的信念.
科学领域:
- 认知心理学 认知心理学
- 媒体研究 媒体研究
- 计算社会科学 计算社会科学
背景情况:
- 错误信息是一个重大的社会挑战.
- 了解真实世界的新闻消费对于打击假新闻至关重要.
研究的目的:
- 调查真实和虚假新闻的实时感知.
- 检查环境背景和个人差异对新闻评估的影响.
- 评估时间限制对识别错误信息的影响.
主要方法:
- 实验采样方法与实时新闻流.
- 人工智能生成的新闻变体 (包括错误信息) 通过自定义服务器.
- 参与者对智能手机上的新闻标题的评估,包括上下文和个人数据收集.
主要成果:
- 假新闻的准确性低于真实的新闻,但在时间限制下,辨别能力下降.
- 更高的数字素养和政治满意度与更好的假新闻检测相关.
- 教条主义和熟悉新闻内容增加了假新闻的感知准确性 (虚幻真相效应).
结论:
- 人工智能引导的实时新闻生成为研究错误信息提供了一种新的方法.
- 现实世界的因素对检测和应对虚假信息的能力有很大影响.
- 个人特征在易受错误信息影响方面起着关键作用.
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