论文标题

采矿虚假信息和虚假新闻:概念,方法和最新进步

Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements

论文作者

Shu, Kai, Wang, Suhang, Lee, Dongwon, Liu, Huan

论文摘要

近年来,包括假新闻在内的虚假信息由于其爆炸性增长,尤其是在社交媒体上,已成为一种全球现象。虚假信息和虚假新闻的广泛传播可能会导致有害的社会影响。尽管最近在检测虚假信息和虚假新闻方面取得了进展,但由于其复杂性,多样性,多模式和事实检查或注释的成本,它仍然并非平凡。本章的目的是通过以下方式欣赏挑战和进步的道路:(1)在社交媒体上介绍信息障碍的类型并检查其差异和联系; (2)描述重要和新兴的任务,以打击虚假信息以进行表征,检测和归因; (3)讨论使用有限的标记数据来检测虚假信息的弱监督方法。然后,我们提供了本书中章节的概述,该章节代表了三个相关部分的最新进展:(1)信息障碍传播的用户参与; (2)检测和减轻虚假信息的技术; (3)诸如道德,区块链,点击招标等问题的趋势问题。我们希望这本书成为研究人员,从业人员和学生的便捷切入点,以了解问题和挑战,学习针对其特定需求的最新解决方案,并快速在其领域中确定新的研究问题。

In recent years, disinformation including fake news, has became a global phenomenon due to its explosive growth, particularly on social media. The wide spread of disinformation and fake news can cause detrimental societal effects. Despite the recent progress in detecting disinformation and fake news, it is still non-trivial due to its complexity, diversity, multi-modality, and costs of fact-checking or annotation. The goal of this chapter is to pave the way for appreciating the challenges and advancements via: (1) introducing the types of information disorder on social media and examine their differences and connections; (2) describing important and emerging tasks to combat disinformation for characterization, detection and attribution; and (3) discussing a weak supervision approach to detect disinformation with limited labeled data. We then provide an overview of the chapters in this book that represent the recent advancements in three related parts: (1) user engagements in the dissemination of information disorder; (2) techniques on detecting and mitigating disinformation; and (3) trending issues such as ethics, blockchain, clickbaits, etc. We hope this book to be a convenient entry point for researchers, practitioners, and students to understand the problems and challenges, learn state-of-the-art solutions for their specific needs, and quickly identify new research problems in their domains.

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