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

Overview of attention for book
Attention for Chapter 11: Developing a Model to Measure Fake News Detection Literacy of Social Media Users
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Citations

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18 Mendeley
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Chapter title
Developing a Model to Measure Fake News Detection Literacy of Social Media Users
Chapter number 11
Book title
Disinformation, Misinformation, and Fake News in Social Media
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-42699-6_11
Book ISBNs
978-3-03-042698-9, 978-3-03-042699-6
Authors

Julian Bühler, Matthias Murawski, Mahdieh Darvish, Markus Bick, Bühler, Julian, Murawski, Matthias, Darvish, Mahdieh, Bick, Markus

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 17%
Librarian 1 6%
Lecturer > Senior Lecturer 1 6%
Student > Ph. D. Student 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 11 61%
Readers by discipline Count As %
Social Sciences 4 22%
Psychology 2 11%
Business, Management and Accounting 1 6%
Unknown 11 61%