使用共享来识别主流新闻的使用,以促进潜在的误导性叙述
Pranav Goel1, Jon Green2, David Lazer3,4
1Network Science Institute, Northeastern University, Boston, MA, USA. p.goel@northeastern.edu.
Nature human behaviour
|June 10, 2025
概括
错误信息经常使用来自可靠来源的真实文章来推动虚假新闻. 这项研究发现,假新闻中的叙述在与之共享的文章中更容易出现,这表明用户利用可信的内容来传播误导性的说法.
科学领域:
- 社会科学 社会科学 社会科学
- 计算社会科学 计算社会科学
- 信息科学 信息科学 信息科学
背景情况:
- 现有的研究往往侧重于不可靠的领域,忽视了可靠的来源如何被采用.
- 这忽略了错误信息传播的重要途径:重新定位事实内容.
研究的目的:
- 通过使用来自可靠来源的事实真实的文章来调查错误信息的普遍性.
- 确定用户如何与"假"新闻共同分享来自可靠来源的内容.
主要方法:
- 对与美国选民文件相关的Twitter/X数据 (2018年5月-2021年11月) 的分析.
- 识别来自可靠来源的文章,经常与错误信息共享.
- 从"假"新闻和经过事实检查的虚假声明中提取叙述.
主要成果:
- 错误信息中存在的叙述在可靠来源的共同共享文章中出现的可能性要大得多.
- 这种共享模式表明用户利用可信的内容来增强误导性声明.
结论:
- 虚假信息可以通过用户与"假"新闻一起分享来自可靠来源的内容来放大.
- 这凸显了一种微妙而普遍的在线虚假信息传播方法.
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