Tshuma / Matsilele | Generative AI in African News Media | Buch | 978-1-041-04241-9 | sack.de

Buch, Englisch, 202 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Routledge African Media, Culture and Communication Studies

Tshuma / Matsilele

Generative AI in African News Media

Opportunities and Challenges
1. Auflage 2025
ISBN: 978-1-041-04241-9
Verlag: Taylor & Francis Ltd

Opportunities and Challenges

Buch, Englisch, 202 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Routledge African Media, Culture and Communication Studies

ISBN: 978-1-041-04241-9
Verlag: Taylor & Francis Ltd


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.

Tshuma / Matsilele Generative AI in African News Media jetzt bestellen!

Zielgruppe


Academic and Postgraduate

Weitere Infos & Material


Chapter 1- Generative AI in Africa: Transforming News, Practices, and Ethics by Trust Matsilele and Lungile A. Tshuma  SECTION ONE GENERATIVE AI USE CASES IN AFRICAN JOURNALISM  Chapter 2- Generative AI-powered Newsreaders in Zimbabwe: Prospects and Challenges by Mphathisi Ndlovu, Zenzele Ndebele and Imelda Duduzile Ndlovu  Chapter 3- Generative AI’s Impact on News Production in South African and Zimbabwean Newsrooms by Mandla J. Radebe and Mbongeni J. Msimanga  Chapter 4- The Promises and Perils of Technology: Embracing Generative AI in Emerging Economy in African Newsrooms by Vusumuzi Maphosa  SECTION TWO GENERATIVE AI AND AFRICAN JOURNALISM: OWNERSHIP, ACCESS, AND PUBLIC TRUST  Chapter 5- Who Owns the News? The Political Economy of AI Journalism in Africa by Job Mwaura  Chapter 6- Generative AI and Journalism in Nigeria: Economic, Linguistic, and Infrastructural Realities in Peri-Urban Radio Stations in Nigeria by Itunu Bodunrin and Akinola Charles Adenitan  Chapter 7- ‘With a little help from machines, it can never be trusted’: Readers’ Perceptions of AI Generated News by Trevor Hlungwani  Chapter 8- Re-imagining the future of African journalism with generative artificial intelligence: a case of gamification in South African newspapers by Wishes Mututwa  SECTION THREE GENERATIVE AI IN JOURNALISM: DESIGN, ETHICAL AND LEGAL CONSIDERATIONS  Chapter 9- Ethical issues surrounding the use of Generative Artificial Intelligence in news production by Blessing Makwambeni and Rudo Patricia Makwambeni  Chapter 10- Generative Artificial Intelligence, Journalism Practices and the Law in Zimbabwe by Pedzisai Ruhanya, Linda Mujuru, and Cynthia Nyahora  Chapter 11- Generative AI in Investigative Journalism: A Human-Computer Interaction Perspective in Southern Africa by Millie Phiri and Sakhile Dube


Trust Matsilele is Senior Lecturer of Journalism at Birmingham City University, UK, and a Research Fellow in the Communication Department at the University of South Africa.

Lungile A. Tshuma is researcher in the Centre for Communication and Culture, Universidade Católica Portuguesa. Tshuma is also Senior Research Associate in the department of Communication and Media, University of Johannesburg, South Africa.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.