1.

Record Nr.

UNISA996465359703316

Titolo

Disinformation, Misinformation, and Fake News in Social Media [[electronic resource] ] : Emerging Research Challenges and Opportunities / / edited by Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-42699-8

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource

Collana

Lecture Notes in Social Networks, , 2190-5428

Disciplina

070.43

Soggetti

Data mining

Social sciences—Data processing

Social sciences—Computer programs

Application software

Social media

Journalism

Data Mining and Knowledge Discovery

Computational Social Sciences

Computer Appl. in Social and Behavioral Sciences

Social Media

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.