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Disinformation in Open Online Media

Overview of attention for book
Disinformation in Open Online Media
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 User Perception Based Trust Model of Online Sources: A Case Study of Misinformation on COVID-19
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    Chapter 2 Using Artificial Neural Networks to Identify COVID-19 Misinformation
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    Chapter 3 Tracing Political Positioning of Dutch Newspapers
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    Chapter 4 Digital Information Seeking and Sharing Behaviour During the COVID-19 Pandemic in Pakistan
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    Chapter 5 Investigating the Validity of Botometer-Based Social Bot Studies
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    Chapter 6 New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication
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    Chapter 7 Moderating the Good, the Bad, and the Hateful: Moderators’ Attitudes Towards ML-based Comment Moderation Support Systems
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    Chapter 8 Advancing the Use of Information Compression Distances in Authorship Attribution
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    Chapter 9 Discourses of Climate Delay in American Reddit Discussions
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    Chapter 10 Incremental Machine Learning for Text Classification in Comment Moderation Systems
Attention for Chapter 6: New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication
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Chapter title
New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication
Chapter number 6
Book title
Disinformation in Open Online Media
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-18253-2_6
Book ISBNs
978-3-03-118252-5, 978-3-03-118253-2
Authors

Grimme, Christian, Pohl, Janina, Cresci, Stefano, Lüling, Ralf, Preuss, Mike

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Professor > Associate Professor 1 10%
Unspecified 1 10%
Researcher 1 10%
Student > Bachelor 1 10%
Other 0 0%
Unknown 4 40%
Readers by discipline Count As %
Computer Science 3 30%
Arts and Humanities 1 10%
Unspecified 1 10%
Neuroscience 1 10%
Unknown 4 40%

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