论文标题

假还是真实?阿拉伯语讽刺假新闻的研究

Fake or Real? A Study of Arabic Satirical Fake News

论文作者

Saadany, Hadeel, Mohamed, Emad, Orasan, Constantin

论文摘要

一种非常常见的假新闻类型是讽刺,它以新闻网站或在线平台的形式出现,该平台模仿知名的真实新闻机构,以创建现实的讽刺版本。这种假新闻经常在其在线平台上传播,因为它在批评中比通过直接的信息具有更强的效果。但是,当讽刺文本通过社交媒体传播而没有提及其来源时,可能会误认为是真正的新闻。这项研究进行了几项探索性分析,以识别具有讽刺内容的阿拉伯假新闻的语言特性。我们利用这些功能来构建许多机器学习模型,能够识别讽刺性假新闻的准确性高达98.6%。

One very common type of fake news is satire which comes in a form of a news website or an online platform that parodies reputable real news agencies to create a sarcastic version of reality. This type of fake news is often disseminated by individuals on their online platforms as it has a much stronger effect in delivering criticism than through a straightforward message. However, when the satirical text is disseminated via social media without mention of its source, it can be mistaken for real news. This study conducts several exploratory analyses to identify the linguistic properties of Arabic fake news with satirical content. We exploit these features to build a number of machine learning models capable of identifying satirical fake news with an accuracy of up to 98.6%.

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