Dr ahmed emara videos 2018 reggaeton

Table of contents :
Preface
Contents
About the Editors
State-of-the-Art
Online Fake News Detection Using Machine Learning Techniques: A Systematic Mapping Study
1 Introduction
2 Related Work
3 Research Methodology
3.1 Defining Research Questions
3.2 Formulating Search Strings
3.3 Selecting Papers from Digital Databases
3.4 Data Extraction Strategy
3.5 Analysis and Classification
4 Results and Discussion
4.1 Overview of the Selected Studies
4.2 RQ1: In Which Years, Sources, and Publication Channels Papers Were Published?
4.3 RQ2: Which Research Types Are Adopted in Selected Papers?
4.4 RQ3: Which Domain Fields Are Targeted in Selected Papers?
4.5 RQ4: Which Social Media Platforms Are the Major Source of Fake News to the End Users?
4.6 RQ5: Which Contexts Are Targeted in Selected Papers?
4.7 RQ6: What Kinds of Fake News Are Targeted in Selected Papers?
4.8 RQ7: Which Types of Features Are Exploited for Fake News Detection?
4.9 RQ8: Which Machine Learning Models, Data Mining Tasks, and Techniques Are Used to Deal with Fake News?
5 Implications for Researchers
5.1 RQ1
5.2 RQ2 and RQ3
5.3 RQ4
5.4 RQ5
5.5 RQ6 and RQ7
5.6