Fake News Detection Using Data Analytics

In an era where misinformation spreads rapidly online, Fake News Detection Using Data Analytics offers a comprehensive guide to identifying and combating fake news through advanced data-driven techniques. This book explores key concepts in machine learning, natural language processing, and network analysis to detect false information across social media and news platforms. Readers will learn how to collect, pre-process, and analyse data, build effective fake news detection models, and implement real-time monitoring systems. With practical case studies and insights into ethical challenges, this book is an essential resource for data scientists, journalists, and anyone interested in preserving the integrity of information in the digital world.

• | Author: Daniel Egboh
• | Publisher: LAP Lambert Academic Publishing
• | Publication Date: Feb 07, 2025
• | Number of Pages: 00072 pages
• | Binding: Paperback or Softback
• | ISBN-10: 6208428785
• | ISBN-13: 9786208428785