Editors: Rupa Rani, Prashant Upadhyay, Rohit Sahu, Satya Prakash Yadav, Hardeo Kumar Thakur

Series Title: Federated Learning for Internet of Vehicles: IoV Image Processing, Vision & Intelligent Systems

Digital Deception: Uncovering the Dark Side of AI in Social Networks

Volume 4

eBook: US $49 Special Offer (PDF + Printed Copy): US $124
Printed Copy: US $99
Library License: US $196
ISBN: 979-8-89881-004-7 (Print)
ISBN: 979-8-89881-003-0 (Online)
Year of Publication: 2025
DOI: 10.2174/97988988100301250401

Introduction

Digital Deception: Uncovering the Dark Side of AI in Social Networks is a critical investigation into how artificial intelligence silently influences, manipulates, and, at times, undermines digital interactions across social platforms. Bridging disciplines such as computer science, sociology, and ethics, the book exposes how AI technologies contribute to misinformation, surveillance, identity manipulation, and psychological exploitation in the digital sphere.

With chapters on algorithmic bias, deep fakes, federated learning, and intrusion detection, the book reveals the hidden mechanisms that shape user behavior and societal discourse. It explores the ethical implications of AI-powered content curation, privacy violations, and the rise of automated cyberattacks—while proposing regulatory and technological countermeasures. Case studies and real-world examples illustrate the consequences of unchecked AI deployment and the erosion of trust in online spaces.

Key Features:

  • - Examines misinformation, digital surveillance, and algorithmic bias
  • - Presents real-world case studies and AI behavior models
  • - Highlights privacy concerns and ethical frameworks
  • - Proposes AI-driven defenses and user empowerment strategies


Readership:

Researchers, students, technologists, policymakers, and activists seeking to understand and address the hidden risks posed by AI in our digitally connected world.

Preface

The book "Uncovering the Dark Side of AI in Social Networks" explores the ethical, societal, and psychological implications of artificial intelligence (AI) deployed within social networks. It delves into the potential negative consequences and hidden dangers that arise from the intersection of AI algorithms, social media platforms, and user behavior. The book aims to shed light on the often unseen and unacknowledged issues that arise when AI is employed in social networks. It provides an in-depth analysis of the impact of AI-driven algorithms on user privacy, information manipulation, polarization of online communities, mental health, and the overall well-being of individuals.

This preface is a "must-read" for individuals and professionals across various fields who are interested in or directly involved in the intersection of AI, social networks, and ethics. Some of the key audiences who will benefit from reading this book include researchers and academics, technology developers, policymakers and regulators, social media companies, privacy and data protection experts, ethicists and philosophers, social activists, and advocacy groups. Overall, the book caters to a wide range of readers who seek a comprehensive understanding of the ethical challenges and potential harm that AI algorithms pose within the realm of social networks. Also, this book will be of interest to lecturers and advanced students seeking additional resources, developers, and designers to enhance their understanding of the ethical considerations in AI development, as well as that of standard bodies and regulators involved in formulating guidelines and regulations related to AI and social networks.

This book employs a multidisciplinary approach, drawing on research and insights from various fields such as computer science, psychology, sociology, ethics, and law. The book combines theoretical analysis with real-world case studies, providing a comprehensive understanding of the complex interplay between AI, social networks, and human behavior. It also offers practical recommendations for individuals, policymakers, and technology companies to promote a more responsible and beneficial use of AI in the realm of social networks.


Rupa Rani
Department of Computer Science & Engineering
Ajay Kumar Garg Engineering College, Ghaziabad, U.P., India

Prashant Upadhyay
Department of Computer Science & Engineering, School of
Engineering & Technology, Sharda University, Greater Noida, U.P., India

Rohit Sahu
GL Bajaj Institute of Technology and Management, Greater Noida, U.P., India

Satya Prakash Yadav
Department of Computer Science & Engineering,
Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India

&
Hardeo Kumar Thakur
>School of Computer Science Engineering and Technology
(SCSET), Bennett University, Greater Noida, U.P., India