论文标题

歧义虚假信息:扩展超出在线内容的真实性

Disambiguating Disinformation: Extending Beyond the Veracity of Online Content

论文作者

Erhardt, Keeley, Pentland, Alex

论文摘要

在2016年美国总统大选和如今的俄罗斯干预证据之后,人们对“假新闻”现象引起了人们的兴趣。迄今为止,对虚假新闻的研究集中在检测低掌握能力来源的内容以及分析该内容如何在在线平台上传播的内容。错误的信息构成了明显的风险,但是过分强调真实性的研究议程错过了真正了解克里姆林宫领导的虚假宣传运动的机会,这使许多美国人震惊。在本文中,我们提出了一个虚假信息的定义 - 一组或一系列精心策划的议程驱动的信息动作,目的是欺骗 - 这对于使俄罗斯在2016年的干预范围化,并更加广泛地将俄罗斯的干扰竞选。我们扩展了正在进行的工作,以实现此定义,并证明检测虚假信息必须超出评估特定发布者,用户或故事的信誉之外。

Following the 2016 US presidential election and the now overwhelming evidence of Russian interference, there has been an explosion of interest in the phenomenon of "fake news". To date, research on false news has centered around detecting content from low-credibility sources and analyzing how this content spreads across online platforms. Misinformation poses clear risks, yet research agendas that overemphasize veracity miss the opportunity to truly understand the Kremlin-led disinformation campaign that shook so many Americans. In this paper, we present a definition for disinformation - a set or sequence of orchestrated, agenda-driven information actions with the intent to deceive - that is useful in contextualizing Russian interference in 2016 and disinformation campaigns more broadly. We expand on our ongoing work to operationalize this definition and demonstrate how detecting disinformation must extend beyond assessing the credibility of a specific publisher, user, or story.

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