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

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

Table of Contents

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    Book Overview
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    Chapter 1 Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements
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    Chapter 2 Discover Your Social Identity from What You Tweet: A Content Based Approach
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    Chapter 3 User Engagement with Digital Deception
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    Chapter 4 Characterization and Comparison of Russian and Chinese Disinformation Campaigns
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    Chapter 5 Pretending Positive, Pushing False: Comparing Captain Marvel Misinformation Campaigns
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    Chapter 6 Bots, Elections, and Social Media: A Brief Overview
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    Chapter 7 Tensor Embeddings for Content-Based Misinformation Detection with Limited Supervision
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    Chapter 8 Exploring the Role of Visual Content in Fake News Detection
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    Chapter 9 Credibility-Based Fake News Detection
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    Chapter 10 Standing on the Shoulders of Guardians: Novel Methodologies to Combat Fake News
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    Chapter 11 Developing a Model to Measure Fake News Detection Literacy of Social Media Users
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    Chapter 12 BaitWatcher: A Lightweight Web Interface for the Detection of Incongruent News Headlines
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    Chapter 13 An Evolving (Dis)Information Environment – How an Engaging Audience Can Spread Narratives and Shape Perception: A Trident Juncture 2018 Case Study
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    Chapter 14 Blockchain Technology-Based Solutions to Fight Misinformation: A Survey
Attention for Chapter 2: Discover Your Social Identity from What You Tweet: A Content Based Approach
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