Suchergebnisse

Cover -- Copyright Page -- Title Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- Motivation -- An Interdisciplinary View on Fake News -- Fake News in Social Media Age -- Characteristics of Social Media -- Problem Definition -- What News Content Tells -- How Social Context Helps -- Challenging Problems of Fake News Detection -- What News Content Tells -- Textual Features -- Linguistic Features -- Low-Rank Textual Features -- Neural Textual Features -- Visual Features -- Visual Statistical Features -- Visual Content Features -- Neural Visual Features -- Style Features -- Deception Styles -- Clickbaity Styles -- News Quality Styles -- Knowledge-Based Methods -- Manual Fact-Checking -- Automatic Fact-Checking -- How Social Context Helps -- User-Based Detection -- User Feature Modeling -- User Behavior Modeling -- Post-Based Detection -- Stance-Aggregated Modeling -- Emotion-Enhanced Modeling -- Credibility-Propagated Modeling -- Network-Based Detection -- Representative Network Types -- Friendship Networking Modeling -- Diffusion Network Temporal Modeling -- Interaction Network Modeling -- Propagation Network Deep-Geometric Modeling -- Hierarchical Propagation Network Modeling -- Challenging Problems of Fake News Detection -- Fake News Early Detection -- A User-Response Generation Approach -- An Event-Invariant Adversarial Approach -- A Propagation-Path Modeling Approach -- Weakly Supervised Fake News Detection -- A Tensor Decomposition Semi-Supervised Approach -- A Tensor Decomposition Unsupervised Approach -- A Probabilistic Generative Unsupervised Approach -- Explainable Fake News Detection -- A Web Evidence-Aware Approach -- A Social Context-Aware Approach -- Data Repository -- Tools -- Relevant Activities -- Bibliography -- Authors' Biographies.