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Discover Your Social Identity from What You Tweet: a Content Based Approach

Overview of attention for book
Attention for Chapter 1: Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements
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Citations

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39 Dimensions

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192 Mendeley
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Chapter title
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements
Chapter number 1
Book title
Disinformation, Misinformation, and Fake News in Social Media
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-42699-6_1
Book ISBNs
978-3-03-042698-9, 978-3-03-042699-6
Authors

Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu, Shu, Kai, Wang, Suhang, Lee, Dongwon, Liu, Huan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 192 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 16%
Student > Ph. D. Student 21 11%
Student > Bachelor 15 8%
Researcher 12 6%
Lecturer 8 4%
Other 22 11%
Unknown 84 44%
Readers by discipline Count As %
Computer Science 56 29%
Social Sciences 25 13%
Arts and Humanities 5 3%
Engineering 5 3%
Business, Management and Accounting 4 2%
Other 12 6%
Unknown 85 44%