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Generative AI is reshaping the media landscape with unprecedented speed and scale. This book examines the disruptive impact of these technologies on the media sector. From the advent of tools like ChatGPT to the creation of synthetic media, the book provides a rigorous, scientific analysis of how Generative AI is altering content creation, distribution, and consumption. It brings together a multidisciplinary group of academics to offer in-depth discussions on the challenges and opportunities posed by AI-driven innovations. Rather than presenting isolated research findings, this anthology aims…mehr

Produktbeschreibung
Generative AI is reshaping the media landscape with unprecedented speed and scale. This book examines the disruptive impact of these technologies on the media sector. From the advent of tools like ChatGPT to the creation of synthetic media, the book provides a rigorous, scientific analysis of how Generative AI is altering content creation, distribution, and consumption. It brings together a multidisciplinary group of academics to offer in-depth discussions on the challenges and opportunities posed by AI-driven innovations. Rather than presenting isolated research findings, this anthology aims to systematically dissect the various dimensions of AI-based media disruption, offering readers a comprehensive understanding of the changes underway. It addresses critical questions regarding the effects on media products, markets, professionals, and audiences, providing essential insights and forward-looking perspectives. This book is an essential read for scholars, media professionals, and anyone interested in the intersection of technology and media. Capturing the essence of current technological advancements, it offers a visionary outlook on future directions, equipping academics and professionals with the knowledge to navigate the ongoing digital transformation. By synthesizing cross-disciplinary perspectives, this volume stands as a critical guide for those at the intersection of media studies, technology, and digital innovation, aiming to foster an informed dialogue on navigating the media sector's evolving AI-driven landscape.
Autorenporträt
Stephan Böhm is a Professor of Telecommunications and Mobile Media in the Media Management department of the RheinMain University of Applied Sciences in Wiesbaden, Germany. His research interests lie at the intersection of media technology and media management from an applied sciences perspective. Stephan’s current research focuses on interactive media innovations, AI-based media disruption, technology acceptance research, and human-computer interaction (HCI). Steve Collins is Discipline Chair of Media and Communications in the School of Communication, Society and Culture at Macquarie University in Sydney, Australia. His research focuses on disruptions in the creative industries, copyright law, music industries and music production. He is the co-author of Music 2.0: The Future of Music. Steve is also a music producer and remixer. Alexander Godulla is a Professor of Empirical Communication and Media Research at the Institute for Communication and Media Studies (IfKMW) at Leipzig University, Germany. His research interests include AI in the media industry (deepfakes), innovations in digital journalism (virtual reality) and strategic communication (trend research), the transformation of public communication, cross-media and transmedia storytelling, denialism and the development of international photojournalism. Sarah Keith is Senior Lecturer in Media in the School of Communication, Society and Culture at Macquarie University in Sydney, Australia. Sarah's research areas include media technology and platforms, East Asian popular culture, diplomacy and soft power, and the music industries. Recent research has explored AI in the music industries, online fandom platforms, K-pop and multicultural understanding in Australia and digital disruption. Richard Savery is a developer of artificial intelligence and robotics, using music and creativity as a medium to program better interactions, understandings and models. He is the Senior Data Scientist at Jen Music (2025) and previously a Macquarie University Research Fellow (2022-2024), developing ethically trained, high fidelity text to music systems and a rapping, drumming interactive robot. His research has received $3.8 million in funding and significant industry partnerships.