AI-Empowered Corporate Social Media

"Combining historical insight with cutting-edge analytics, this book reveals how companies can master both internal collaboration and external influence, while warning against the pitfalls of blind reliance on AI."
– Anindya Ghose, Heinz Riehl Chair Professor, NYU Stern School of Business, USA 

"Far surpassing simple descriptions, this book offers a rigorous, data-driven framework for understanding the causal mechanics of influence and strategy — without a doubt, a critical resource for scholars, executives, and anyone seeking to build resilient organizations in the age of big data."
– Alok Gupta, Curtis L. Carlson Schoolwide Chair Professor in Information Management, University of Minnesota, USA

"This book challenges conventional thinking about social media in business, revealing its deeper role as a site of intelligence and power in the age of AI."
– Feng Zhu, MBA Class of 1958 Professor of Business Administration, Harvard Business School, USA


This book examines a critical yet under-theorized area of contemporary business: the intersection of corporate social media and artificial intelligence (AI). It constructs a dual-framework—internal affairs and external affairs—that reframes corporate social media not merely as a communication tool, but as a strategic engine for organizational intelligence, coordination, and competitive positioning.

Part 1 provides an introduction to the concept of AI-empowered corporate social media. Part 2 addresses the external affairs of corporate social media, including its role in shaping customer relationships, marketing narratives, and public trust. Part 3 turns inward, exploring how enterprise social media platforms are reshaping organizational knowledge flows, performance feedback, and collaboration.

Through compelling historical analogies—from John Snow’s epidemiological breakthroughs to Toyota’s recall crisis—this book illustrates the dangers of drawing premature conclusions from spurious patterns. This critique is both timely and essential, especially as business leaders increasingly rely on opaque machine-learning systems for decision-making.

Liangfei Qiu is the PricewaterhouseCoopers Professor and University Research Foundation Professor at the Warrington College of Business, University of Florida, USA. His current research focuses on social technology, platform technology, artificial intelligence, and FinTech.