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.
€171.19
表中的内容
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.购买此电子书可免费获赠一本！
语言 英语 ● 格式 PDF ● 网页 288 ● ISBN 9783030426996 ● 文件大小 8.2 MB ● 编辑 Kai Shu & Suhang Wang ● 出版者 Springer International Publishing ● 市 Cham ● 国家 CH ● 发布时间 2020 ● 下载 24 个月 ● 货币 EUR ● ID 7477854 ● 复制保护 社会DRM
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