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Detecting Fake News

on Social Media

Synthesis Lectures on Data

Mining and Knowledge

Discovery

Editors

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

is edited by Jiawei Han, Lise

Getoor, Wei Wang, Johannes Gehrke, and Robert Grossman. The series publishes 50- to 150-page

publications on topics pertaining to data mining, web mining, text mining, and knowledge

discovery, including tutorials and case studies. Potential topics include: data mining algorithms,

innovative data mining applications, data mining systems, mining text, web and semi-structured

data, high performance and parallel/distributed data mining, data mining standards, data mining

and knowledge discovery framework and process, data mining foundations, mining data streams

and sensor data, mining multi-media data, mining social networks and graph data, mining spatial

and temporal data, pre-processing and post-processing in data mining, robust and scalable

statistical methods, security, privacy, and adversarial data mining, visual data mining, visual

analytics, and data visualization.

Detecting Fake News on Social Media

Kai Shu and Huan Liu

2019

Multidimensional Mining of Massive Text Data

Chao Zhang and Jiawei Han

2019

Exploiting the Power of Group Diﬀerences: Using Patterns to Solve Data Analysis

Problems

Guozhu Dong

2019

Mining Structures of Factual Knowledge from Text

Xiang Ren and Jiawei Han

2018