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Disinformation, misinformation, and ...
~
Shu, Kai.
Disinformation, misinformation, and fake news in social mediaemerging research challenges and opportunities /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Disinformation, misinformation, and fake news in social mediaedited 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.
Contained By:
Springer eBooks
Subject:
Fake news.
Online resource:
https://doi.org/10.1007/978-3-030-42699-6
ISBN:
9783030426996$q(electronic bk.)
Disinformation, misinformation, and fake news in social mediaemerging research challenges and opportunities /
Disinformation, misinformation, and fake news in social media
emerging research challenges and opportunities /[electronic resource] :edited by Kai Shu ... [et al.]. - Cham :Springer International Publishing :2020. - viii, 288 p. :ill., digital ;24 cm. - Lecture notes in social networks,2190-5428. - Lecture notes in social networks..
A Social Network Analysis and Cyber Forensics Informed Exploration of Disinformation Campaigns -- Mitigating Fake News through Fact-checking URL recommendation -- Detecting Fake News with Semi-supervised Tensor Decomposition -- Learning Hierarchical Discourse-level Structure for Fake News Detection -- Mining Styles and Emotions for Fake News Detection -- Fake News Detection with Deep Diffusive Network Model -- Fake News Detection: An Interdisciplinary Research -- Jointly Identifying Framing Bias and Detecting Fake News on Social Media.
This book serves as a convenient entry point for researchers, practitioners, and students to understand the problems and challenges, learn state-of-the-art solutions for their specific needs, and quickly identify new research problems in their domains. The contributors to this volume describe the recent advancements in three related parts: (1) user engagements in the dissemination of information disorder; (2) techniques on detecting and mitigating disinformation; and (3) trending issues such as ethics, blockchain, clickbaits, etc. This edited volume will appeal to students, researchers, and professionals working on disinformation, misinformation and fake news in social media from a unique lens.
ISBN: 9783030426996$q(electronic bk.)
Standard No.: 10.1007/978-3-030-42699-6doiSubjects--Topical Terms:
806418
Fake news.
LC Class. No.: PN4784.F27 / D57 2020
Dewey Class. No.: 302.231
Disinformation, misinformation, and fake news in social mediaemerging research challenges and opportunities /
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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.
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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.
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based on 0 review(s)
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電子館藏
1圖書
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EB PN4784.F27 D611 2020 2020
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1 records • Pages 1 •
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https://doi.org/10.1007/978-3-030-42699-6
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