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The Handbook of Artificial Intelligence and Journalism

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作者
Aynur Sarısakaloğlu、Martin Löffelholz
出版社
John Wiley
ISBN
9781394250394
出版日期
2026/01

簡介

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 Sarisakaloglu 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.

目錄

About the Editors ix Notes on Contributors xi Preface xix Introduction 1 1 The Evolution of Journalism in the Era of Artificial Intelligence 3 Aynur Sarısakaloğlu and Martin Löffelholz Part I Deciphering the Algorithmization of Journalism 2 Conceptualization of Artificial Intelligence 29 Aynur Sarısakaloğlu 3 Algorithmic Innovations in Journalism 45 John V. Pavlik 4 Charting the Research Field of Algorithm- Driven Journalism 59 Aynur Sarısakaloğlu 5 Conceptualizing Algorithm- Driven Journalism Within Cosmopolitan Communication Studies 77 Pauline Gidget Estella and Aynur Sarısakaloğlu 6 Reflections on Evolving Approaches for Researching Artificial Intelligence and Journalism 89 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 107 Jenny Wiik 8 News Tech Companies Transforming Media Business Models in the Age of Artificial Intelligence 123 Mathias- Felipe de- Lima- Santos 9 Toward Responsible Innovation of Artificial Intelligence in Local Journalism 139 Bartosz Wilczek 10 Rethinking Journalistic Role Conceptions and Role Performance as Artificial IntelligenceIntegrates Into Newsrooms 153 Nicole Blanchett and Angela Misri 11 The Evolving Role of Journalists as Gatekeepers in the Age of (Generative) Artificial Intelligence 167 Hannes Cools 12 Algorithmic Turn in Journalistic Competencies and Journalism Education 179 Andrea Hickerson Part III Algorithmically Generated News Content 13 Incorporation of Journalistic Approaches Into Algorithm Design 193 Mariella Bastian, Damian Trilling and Mykola Makhortykh 14 Making Sense of Journalistic Quality in the Age of Artificial Intelligence 207 Dennis Reineck 15 Using Artificial Intelligence for Investigative Journalism 223 Jessica Kunert 16 Artificial Intelligence and Misinformation, Disinformation, Fake News, and Deepfakes 235 Regina Cazzamatta 17 Exploring Algorithmic Biases in AI- Supported Journalism 251 Leo Leppänen 18 Ethical Implications, Algorithmic Accountability, and Artificial Intelligence in Journalism 265 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 283 Daniel Trielli 20 Perception of Nonhuman- Versus Human- Written News by Recipients 297 Jessica Kunert 21 Impact of Personalization Algorithms on News Reception 311 Mykola Makhortykh and Victoria Vziatysheva 22 Humans’ Perceptions of Artificial Intelligence News Anchors 327 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 341 Regina Luttrell, Jason Davis and Carrie Welch 24 Algorithm- Driven Journalism in Latin American Countries 355 Danilo Rothberg and Verena R. F. Moraes 25 Artificial Intelligence Technologies in Journalism in China 367 Joanne Kuai, Xueying Wang and Michael Karlsson 26 Adoption of Artificial Intelligence Into Indonesian Newswork 383 Detta Rahmawan, Justito Adiprasetio and Subekti Priyadharma 27 Artificial Intelligence Technologies in Africa With a Focus on South African Journalism 399 Marenet Jordaan Summing Up: Future Trends and Prospects in Journalism 28 Journalism in 2030: Research Perspectives on Artificial Intelligence and Newswork 415 Martin Löffelholz and Aynur Sarısakaloğlu Index 425

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