Series ISSN: 2151-0067
Series Editors: Jiawei Han, University of Illinois at Urbana-Champaign
Lise Getoor, University of California Santa Cruz
Wei Wang, University of North Carolina, Chapel Hill
Johannes Gerke, Cornell University
Robert Grossman, University of Chicago
Detecting Fake News on Social Media
Kai Shu, Arizona State University
Huan Liu, Arizona State University
In the past decade, social media has become increasingly popular for news consumption due to its
easy access, fast dissemination, and low cost. However, social media also enables the wide propagation
of “fake news,” i.e., news with intentionally false information. Fake news on social media can have
signicant negative societal eects. erefore, fake news detection on social media has recently
become an emerging research area that is attracting tremendous attention. is book, from a data
mining perspective, introduces the basic concepts and characteristics of fake news across disciplines,
reviews representative fake news detection methods in a principled way, and illustrates challenging
issues of fake news detection on social media. In particular, we discussed the value of news content
and social context, and important extensions to handle early detection, weakly-supervised detection,
and explainable detection. e concepts, algorithms, and methods described in this lecture can help
harness the power of social media to build eective and intelligent fake news detection systems. is
book is an accessible introduction to the study of detecting fake news on social media. It is an essential
reading for students, researchers, and practitioners to understand, manage, and excel in this area.
is book is supported by additional materials, including lecture slides, the complete set
of gures, key references, datasets, tools used in this book, and the source code of representative
algorithms. e readers are encouraged to visit the book website for the latest information:
http://dmml.asu.edu/dfn/
About SYNTHESIS
This volume is a printed version of a work that appears in the Synthesis Digital Library of Engineering
and Computer Science. Synthesis books provide concise, original presentations of important research
and development topics, published quickly, in digital and print formats.
store.morganclaypool.com
SHU • LIU DETECTING FAKE NEWS ON SOCIAL MEDIA MORGAN & CLAYPOOL
Detecting Fake News
on Social Media
Synthesis Lectures on Data
Mining and Knowledge
Discovery
Jiawei Han, University of Illinois at Urbana-Champaign
Johannes Gehrke, Cornell University
Lise Getoor, University of California, Santa Cruz
Robert Grossman, University of Chicago
Wei Wang, University of North Carolina, Chapel Hill
Synthesis Lectures on Data Mining and Knowledge Discovery
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.