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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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