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Disinformation, misinformation, and ...

Shu, Kai.

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Disinformation, misinformation, and fake news in social media = emerging research challenges and opportunities /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Disinformation, misinformation, and fake news in social media/ edited by Kai Shu ... [et al.].
Reminder of title:	emerging research challenges and opportunities /
other author:	Shu, Kai.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	viii, 288 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Fake news. -
Online resource:	https://doi.org/10.1007/978-3-030-42699-6
ISBN:	9783030426996

Disinformation, misinformation, and fake news in social media = emerging research challenges and opportunities /
Disinformation, misinformation, and fake news in social mediaemerging research challenges and opportunities /[electronic resource] :edited by Kai Shu ... [et al.]. - Cham :Springer International Publishing :2020. - viii, 288 p. :ill., digital ;24 cm. - Lecture notes in social networks,2190-5428. - Lecture notes in social networks..

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.

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.

ISBN: 9783030426996

Standard No.: 10.1007/978-3-030-42699-6doiSubjects--Topical Terms:

3301831
Fake news.

LC Class. No.: PN4784.F27 / D57 2020

Dewey Class. No.: 302.231

Disinformation, misinformation, and fake news in social media = emerging research challenges and opportunities /
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