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In recent years, disinformation including fake news, has became a globalphenomenon due to its explosive growth, particularly on social media. The widespread of disinformation and fake news can cause detrimental societal effects.Despite the recent progress in detecting disinformation and fake news, it isstill non-trivial due to its complexity, diversity, multi-modality, and costsof fact-checking or annotation. The goal of this chapter is to pave the way forappreciating the challenges and advancements via: (1) introducing the types ofinformation disorder on social media and examine their differences andconnections; (2) describing important and emerging tasks to combatdisinformation for characterization, detection and attribution; and (3)discussing a weak supervision approach to detect disinformation with limitedlabeled data. We then provide an overview of the chapters in this book thatrepresent the recent advancements in three related parts: (1) user engagementsin the dissemination of information disorder; (2) techniques on detecting andmitigating disinformation; and (3) trending issues such as ethics, blockchain,clickbaits, etc. We hope this book to be a convenient entry point forresearchers, practitioners, and students to understand the problems andchallenges, learn state-of-the-art solutions for their specific needs, andquickly identify new research problems in their domains.

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