The Handbook of Artificial Intelligence and Journalism

1. Auflage 2025
ISBN: 978-1-394-25039-4
Verlag: Wiley

Buch, Englisch, 464 Seiten

Presents a comprehensive global overview of AI-driven journalism and its transformative impact on media practices

As artificial intelligence (AI) continues to reshape the media landscape, The Handbook of Artificial Intelligence and Journalism provides the first comprehensive academic exploration of the intersection between AI technologies and journalism. Edited by Aynur Sarısakaloglu and Martin Löffelholz, this foundational volume brings together 37 leading scholars from six continents to examine how AI is redefining the structures, practices, and epistemologies of journalism.

Organized around key thematic areas, the Handbook investigates the driving forces propelling the algorithmic transformation and unveils emerging trends in journalistic practice and journalism research, moving beyond Western-centric perspectives to incorporate diverse global experiences and knowledge production. Twenty-eight original chapters address systemic shifts such as evolving structures of media organizations, changing roles of actors, transformations in news production routines, and shifting patterns of news consumption. By integrating theoretical, empirical, and practical perspectives, the Handbook sets the stage for a new research agenda for understanding AI-driven journalism on a global scale.

Containing rigorous interdisciplinary scholarship and broad geographical coverage, The Handbook of Artificial Intelligence and Journalism: - Integrates theoretical foundations, empirical studies, and practical applications in a cohesive structure
- Offers insights into journalism practices across a wide range of geographical contexts and engages with approaches that transcends Western-dominated paradigms, incorporating perspectives from the Global South
- Employs interdisciplinary frameworks to enhance the understanding of AI-driven journalism
- Examines the sociotechnical dynamics of AI, including its potential benefits and challenges for journalism
- Presents forward-looking reflections on the future of journalism research in the AI era

The Handbook of Artificial Intelligence and Journalism is ideal for undergraduate, graduate, and doctoral students in journalism, communication, and media studies programs. It also serves as a vital reference for researchers, educators, media professionals, and policy advisors engaged in digital journalism, journalism research, media innovation, and public communication.

Autoren/Hrsg.

Sar&

Sarisakaloglu, Aynur

Löffelholz, Martin

Fachgebiete

• Sozialwissenschaften Medien- und Kommunikationswissenschaften Medienwissenschaften Journalismus & Presse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Preface

About the Editors

Notes on Contributors

Introduction

1 The Evolution of Journalism in the Era of Artificial Intelligence  Aynur Sarisakaloglu and Martin Löffelholz

Part I Deciphering the Algorithmization of Journalism

2 Conceptualization of Artificial Intelligence  Aynur Sarisakaloglu

3 Algorithmic Innovations in Journalism  John V. Pavlik

4 Charting the Research Field of Algorithm-Driven Journalism  Aynur Sarisakaloglu

5 Conceptualizing Algorithm-Driven Journalism within Cosmopolitan Communication Studies  Pauline Gidget Estella and Aynur Sarisakaloglu

6 Reflections on Evolving Approaches for Researching Artificial Intelligence and Journalism  Mario Haim and Roxana L. Quintanilla Portugal

Part II Organizing, Producing, and Acting in Algorithm-Driven Journalism

7 Artificial Intelligence in the News Media from an Organizational and Strategic Perspective  Jenny Wiik

8 News Tech Companies Transforming Media Business Models in the Age of Artificial Intelligence  Mathias-Felipe de-Lima-Santos

9 Toward Responsible Innovation of Artificial Intelligence in Local Journalism  Bartosz Wilczek

10 Rethinking Journalistic Role Conceptions and Role Performance as Artificial Intelligence Integrates Into Newsrooms  Nicole Blanchett and Angela Misri

11 The Evolving Role of Journalists as Gatekeepers in the Age of (Generative) Artificial Intelligence  Hannes Cools

12 Algorithmic Turn in Journalistic Competencies and Journalism Education  Andrea Hickerson

Part III Algorithmically Generated News Content

13 Incorporation of Journalistic Approaches into Algorithm Design  Mariella Bastian, Damian Trilling and Mykola Makhortykh

14 Making Sense of Journalistic Quality in the Age of Artificial Intelligence  Dennis Reineck

15 Using Artificial Intelligence for Investigative Journalism  Jessica Kunert

16 Artificial Intelligence and Misinformation, Disinformation, Fake News, and Deepfakes  Regina Cazzamatta

17 Exploring Algorithmic Biases in AI-Supported Journalism  Leo Leppänen

18 Ethical Implications, Algorithmic Accountability and Artificial Intelligence in Journalism  Colin Porlezza and Laura Amigo

Part IV Reception and Effects of Algorithm-Driven News Products

19 Interactive AI-Supported News Systems and the Transformation of Recipients’ Role  Daniel Trielli

20 Perception of Nonhuman- versus Human-Written News by Recipients  Jessica Kunert

21 Impact of Personalization Algorithms on News Reception  Mykola Makhortykh and Victoria Vziatysheva

22 Humans’ Perceptions of Artificial Intelligence News Anchors  Kelly Merrill Jr

Part V Algorithm-Driven Journalism in the Global South

23 Bridging the Artificial Intelligence Divide in Journalism Through Detection Tools, Attribution, and Transparency  Regina Luttrell, Jason Davis and Carrie Welch

24 Algorithm-Driven Journalism in Latin American Countries  Danilo Rothberg and Verena R. F. Moraes

25 Artificial Intelligence Technologies in Journalism in China  Joanne Kuai, Xueying Wang and Michael Karlsson

26 Adoption of Artificial Intelligence in Indonesian Newswork  Detta Rahmawan, Justito Adiprasetio and Subekti Priyadharma

27 Artificial Intelligence Technologies in Africa With a Focus on South African Journalism  Marenet Jordaan

Summing Up: Future Trends and Prospects in Journalism

28 Journalism in 2030: Research Perspectives on Artificial Intelligence and Newswork  Martin Löffelholz and Aynur Sarisakaloglu

Index

Über Autor(innen)

Dr. Aynur Sarısakaloglu is a postdoctoral researcher at Technische Universität Ilmenau, Germany. Her research focuses on the transformation of journalism through artificial intelligence and automation systems, with a particular interest in sociotechnical developments and interdisciplinary frameworks in communication studies.

Dr. Martin Löffelholz is Professor of Media Studies at Technische Universität Ilmenau, Germany, and former President of the Swiss German University in Indonesia. He has led numerous research projects and authored or edited 23 books and more than 400 scholarly publications on communication and journalism.