误导性在线内容:识别标题党为“假新闻”

Yimin Chen, Niall Conroy, Victoria L. Rubin
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引用次数: 392

摘要

小报新闻经常因其夸张、耸人听闻、散布恐慌以及产生误导性和低质量新闻的倾向而受到批评。随着新闻转移到网上,一种新的小报化形式出现了:“点击诱饵”。Clickbait ?指主要目的是吸引注意力并鼓励访问者点击指向特定网页的链接的内容。[clickbait, ?[n.d.d]并被指与网上谣言和错误信息的迅速传播有关。本文探讨了自动检测标题党作为一种欺骗形式的潜在方法。本文调查了识别文本和非文本点击诱饵线索的方法,并提出了混合方法可能产生最佳结果的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Misleading Online Content: Recognizing Clickbait as "False News"
Tabloid journalism is often criticized for its propensity for exaggeration, sensationalization, scare-mongering, and otherwise producing misleading and low quality news. As the news has moved online, a new form of tabloidization has emerged: ?clickbaiting.? ?Clickbait? refers to ?content whose main purpose is to attract attention and encourage visitors to click on a link to a particular web page? [?clickbait,? n.d.] and has been implicated in the rapid spread of rumor and misinformation online. This paper examines potential methods for the automatic detection of clickbait as a form of deception. Methods for recognizing both textual and non-textual clickbaiting cues are surveyed, leading to the suggestion that a hybrid approach may yield best results.
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