打击社交媒体上的虚假信息:一个计算的视角

Kai Shu
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引用次数: 4

摘要

社交媒体的使用加速了信息共享和即时通信。进入社交媒体的低门槛使更多的用户能够参与,并使他们保持更长时间的参与,同时激励有隐藏议程的个人使用虚假信息来操纵信息和影响意见。虚假信息,如假新闻、骗局和阴谋论,越来越多地被用来分裂人们并造成有害的社会影响。因此,必须了解虚假信息,并系统地研究我们如何提高对它的抵抗力,同时考虑到信息需求与安全需求之间的紧张关系,以及对虚假信息的保护。在这项调查中,我们从计算的角度研究了检测虚假信息的概念、方法和最新进展。我们还将讨论打击社交媒体虚假信息的开放性问题和未来的研究方向。
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Combating disinformation on social media: A computational perspective

The use of social media has accelerated information sharing and instantaneous communications. The low barrier to enter social media enables more users to participate and makes them stay engaged longer, while incentivizing individuals with a hidden agenda to use disinformation to manipulate information and influence opinions. Disinformation, such as fake news, hoaxes, and conspiracy theories, has increasingly been weaponized to divide people and create detrimental societal effects. Therefore, it is imperative to understand disinformation and systematically investigate how we can improve resistance against it, taking into account the tension between the need for information and the need for security and protection against disinformation. In this survey, we look into the concepts, methods, and recent advancements of detecting disinformation from a computational perspective. We will also discuss open issues and future research directions for combating disinformation on social media.

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