伊尔玛 (IRMA):意大利的3.35亿字库,用于研究错误信息行动
Fabio Carrella1, Alessandro Miani2, Stephan Lewandowsky1
1School of Psychological Science, University of Bristol.
概括
本研究介绍了IRMA,这是一份意大利大量不值得信赖的新闻文章,以帮助开发自动错误信息检测. 这个资源有助于打击网上虚假信息的快速传播.
科学领域:
- 计算语言学 计算语言学
- 信息科学 信息科学 信息科学
- 数字人文学科 数字人文学科
背景情况:
- 在线虚假信息的快速传播需要自动检测方法.
- 现有的用于检测错误信息的资源主要是英语,其他语言的代表性不足.
- 手动事实核查不足以应对虚假信息传播的速度和数量.
研究的目的:
- 介绍IRMA,意大利错误信息的综合体.
- 为开发和测试不值得信赖的新闻的自动检测算法提供资源.
- 促进意大利语言对错误信息的定量研究.
主要方法:
- 从56个被认定不值得信赖的网站收集了超过60万篇意大利新闻文章.
- 包括文本,标题,日期 (2004-2022),语义指标 (关键字,主题,LIWC功能) 和网站特定的元数据.
- 集成的域特定信息 (源类型,质量) 和网站流量指标.
主要成果:
- 伊尔玛是迄今为止最大的意大利错误信息库.
- 该库包含3.35亿多个代币,提供丰富的数据用于分析.
- 它为测试假设和开发检测算法提供了一个交钥匙资源.
结论:
- 意大利语新闻检测系统 (IRMA) 是一个有价值的工具,可以促进对意大利语不值得信赖的新闻检测的定量研究.
- 该集体可以帮助研究人员开发更有效的自动错误信息检测系统.
- 本资源旨在帮助限制在线虚假信息的传播.
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