真理注释者:发现谣言的起源

Lucas Azevedo, Mohamed Moustafa
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引用次数: 1

摘要

假新闻被定义为通过语境和/或内容操纵有意或无意地传播虚假信息(K等人,2019),已成为与在线信息相关的最严重问题之一(Waldrop, 2017)。因此,假新闻检测成为机器学习各个领域的主要焦点之一也就不足为奇了,虽然机器学习模型允许个人和公司自动化曾经被认为只能由人类完成的基于决策的过程,但如果没有足够的训练数据集,这些模型的现实应用是不可行的,这已经不是什么秘密了。在本文中,我们描述了Veritas Annotator,一个用于手动识别谣言来源的web应用程序。这些谣言,通常被称为索赔,之前由事实核查机构进行了有效性核查。
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Veritas Annotator: Discovering the Origin of a Rumour
Defined as the intentional or unintentionalspread of false information (K et al., 2019)through context and/or content manipulation,fake news has become one of the most seriousproblems associated with online information(Waldrop, 2017). Consequently, it comes asno surprise that Fake News Detection hasbecome one of the major foci of variousfields of machine learning and while machinelearning models have allowed individualsand companies to automate decision-basedprocesses that were once thought to be onlydoable by humans, it is no secret that thereal-life applications of such models are notviable without the existence of an adequatetraining dataset. In this paper we describethe Veritas Annotator, a web application formanually identifying the origin of a rumour.These rumours, often referred as claims,were previously checked for validity byFact-Checking Agencies.
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