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This pioneering volume presents a comprehensive assessment of generative artificial intelligence's impact on African journalism, bringing together insights from academics, technologists, and practicing journalists across the continent.Featuring diverse case studies from South Africa, Nigeria, Kenya, Zimbabwe, Zambia, and Eswatini, the collection explores how African newsrooms are adopting generative AI. Contributors analyse the use of AI presenters, audience perceptions of AI-generated content, gamification strategies in newsrooms, and the barriers journalists face in accessing these technologies. Painting a picture of the complex political economy of AI-driven news production and consumption, the volume also addresses ethical concerns around AI appropriation, highlighting how existing legal frameworks struggle to regulate generative AI in journalism.Positioned at the intersection of technology and African media studies, this book offers essential insights into the future of journalism across the continent.Trust Matsilele is a Senior Lecturer in Journalism at Birmingham City University, UK, and a Research Fellow in the Communication Department at the University of South Africa.Lungile A. Tshuma is a Researcher in the Centre for Communication and Culture, Universidade Católica Portuguesa. Tshuma is also a Senior Research Associate in the Department of Communication and Media, University of Johannesburg, South Africa.
2 088 kr
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This book takes a critical approach to the rise of Artificial Intelligence (AI) within the media and communication landscape.The book argues that as technology is a social construct reflecting existing power dynamics, those in the Global South, and in Africa in particular, are bound to be marginalised and have their knowledge, systems overlooked as the Global North dominates technological developments. The birth of AI has ignited debates about its benefits to lower income countries, with some highlighting its potential to advance businesses and grow economies. However, this book argues that AI tools have been produced to serve Western needs, and that instead there is a need for countries in Africa to have home grown solutions defined by local values. Drawing on case studies and analysis from across the continent, the book seeks to caution, challenge, and proffer solutions to the use and understanding of Generative AI for media and communication in non-western societies.At a time when generative AI is threatening to shape the future of media and communication around the world, this book is a vital and timely contribution to debates within critical data studies and African media studies.