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

Overview of attention for book
Discover Your Social Identity from What You Tweet: a Content Based Approach
Springer International Publishing
Attention for Chapter 9: Credibility-Based Fake News Detection
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1 X user

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101 Mendeley
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Chapter title
Credibility-Based Fake News Detection
Chapter number 9
Book title
Disinformation, Misinformation, and Fake News in Social Media
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-42699-6_9
Book ISBNs
978-3-03-042698-9, 978-3-03-042699-6
Authors

Niraj Sitaula, Chilukuri K. Mohan, Jennifer Grygiel, Xinyi Zhou, Reza Zafarani, Sitaula, Niraj, Mohan, Chilukuri K., Grygiel, Jennifer, Zhou, Xinyi, Zafarani, Reza

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 15%
Student > Master 12 12%
Student > Bachelor 8 8%
Researcher 6 6%
Student > Postgraduate 3 3%
Other 4 4%
Unknown 53 52%
Readers by discipline Count As %
Computer Science 35 35%
Engineering 3 3%
Psychology 3 3%
Arts and Humanities 2 2%
Social Sciences 2 2%
Other 2 2%
Unknown 54 53%