Titlebook: Detecting Fake News on Social Media; Kai Shu,Huan Liu Book 2019 Springer Nature Switzerland AG 2019

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Book 2019r, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting

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2151-0067 ild effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an978-3-031-00787-3978-3-031-01915-9Series ISSN 2151-0067 Series E-ISSN 2151-0075

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How Social Context Helps,nd how online users interact with each other. It provides useful auxiliary information for inferring the veracity of news articles. The nature of social media provides researchers with additional resources to supplement and enhance news content-based models. There are three major aspects of the soci

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Challenging Problems of Fake News Detection, which generally considers the standard scenario of binary classification. Since fake news detection is a critical real-world problem, it has encountered specific challenges that need to be considered. In addition, recent advancements of machine learning methods such as deep neural networks, tensor

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J. Camassel,H. Peyre,F. AIsina,J. Pascual,R. W. Glewns to be presented in Part III, below. Not all of the details will actually be needed for the account we are going to offer of the semantics of anaphoric pronouns, but since the attractiveness of our account is partly due to its being an aspect of a more comprehensive systematic theory, it is in ord

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Robert H?nsch,Ralf R. Mendelon Computer Vision and Sensor-based Robots held at the General Motors Research Laboratories, Warren, Michigan in 1978, was published by Plenum Press in 1979. This book, edited by George G. Dodd and Lothar Rosso!, probably represented the first identifiable book covering some aspects of robot vision.