Description: Disinformation, Misinformation, and Fake News in Social Media by Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu This book serves as 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description This book serves as 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. The contributors to this volume describe 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. This edited volume will appeal to students, researchers, and professionals working on disinformation, misinformation and fake news in social media from a unique lens. Back Cover This book serves as 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. The contributors to this volume describe 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. This edited volume will appeal to students, researchers, and professionals working on disinformation, misinformation and fake news in social media from a unique lens. Table of Contents A Social Network Analysis and Cyber Forensics Informed Exploration of Disinformation Campaigns.- Mitigating Fake News through Fact-checking URL recommendation.- Detecting Fake News with Semi-supervised Tensor Decomposition.- Learning Hierarchical Discourse-level Structure for Fake News Detection.- Mining Styles and Emotions for Fake News Detection.- Fake News Detection with Deep Diffusive Network Model.- Fake News Detection: An Interdisciplinary Research.- Jointly Identifying Framing Bias and Detecting Fake News on Social Media. Feature Covers an interdisciplinary emerging research topic on disinformation and misinformation attracting increasing attention Contains recent advanced social computing, data mining, and machine learning methods Helps to understand the problems and challenges, learn state-of-the-art solutions for their specific needs Details ISBN303042698X Short Title Disinformation, Misinformation, and Fake News in Social Media Language English Year 2020 ISBN-10 303042698X ISBN-13 9783030426989 Format Hardcover Subtitle Emerging Research Challenges and Opportunities DOI 10.1007/978-3-030-42699-6 Pages 288 Publication Date 2020-06-18 UK Release Date 2020-06-18 Edition 1st Place of Publication Cham Country of Publication Switzerland Author Huan Liu Illustrations 73 Illustrations, color; 11 Illustrations, black and white; VIII, 288 p. 84 illus., 73 illus. in color. Publisher Springer Nature Switzerland AG Edition Description 1st ed. 2020 Series Lecture Notes in Social Networks Imprint Springer Nature Switzerland AG Alternative 9783030427016 Edited by Huan Liu DEWEY 302.231 Audience Postgraduate, Research & Scholarly We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:128109690;
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ISBN-13: 9783030426989
Book Title: Disinformation, Misinformation, and Fake News in Social Media
Number of Pages: 288 Pages
Language: English
Publication Name: Disinformation, Misinformation, and Fake News in Social Media: Emerging Research Challenges and Opportunities
Publisher: Springer Nature Switzerland Ag
Publication Year: 2020
Subject: Computer Science, Business
Item Height: 235 mm
Item Weight: 612 g
Type: Textbook
Author: Dongwon Lee, Kai Shu, Huan Liu, Suhang Wang
Subject Area: Information Management
Item Width: 155 mm
Format: Hardcover