Emotional AI and Human-AI Interactions in Social Networking 1st Edition

Emotional AI and Human-AI Interactions in Social Networking (1st Edition) by Muskan Garg is a timely, authoritative guide that decodes how emotion-aware artificial intelligence is reshaping online communities and user experiences. This book immediately draws you in with real-world relevance—showing how platforms detect, respond to, and influence feelings across social networks.

Inside, Muskan Garg delivers a clear, research-informed exploration of Emotional AI: the technologies that interpret sentiment from text, voice, images and behavior. You’ll find thoughtful analysis of Human-AI interaction patterns, ethical trade-offs, privacy considerations, and design strategies that help platforms foster healthier engagement. Practical frameworks bridge theory and practice, making complex topics accessible to product teams, researchers, policy-makers, and students.

Why this book matters: it equips readers with actionable insights to design empathetic AI systems that work responsibly across regions—from major tech hubs to emerging markets. The content is globally relevant, addressing cross-cultural expression, regulatory trends, and localization challenges faced by developers and strategists in North America, Europe, India and beyond.

If you want to lead in building humane social networking experiences, this volume sharpens your expertise—helping you evaluate models, measure emotional impact, and implement governance best practices. Written in a crisp, professional voice, it balances academic rigor with practical guidance.

Add Emotional AI and Human-AI Interactions in Social Networking by Muskan Garg to your shelf and start transforming how your Books understand and respect human emotion online. Order your copy today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.