{"product_id":"the-handbook-of-artificial-intelligence-and-journalism-isbn-9781394250394","title":"The Handbook of Artificial Intelligence and Journalism","description":"\u003cp\u003e\u003cb\u003ePresents a comprehensive global overview of AI-driven journalism and its transformative impact on media practices\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eAs artificial intelligence (AI) continues to reshape the media landscape, \u003ci\u003eThe Handbook of Artificial Intelligence and Journalism\u003c\/i\u003e provides the first comprehensive academic exploration of the intersection between AI technologies and journalism. Edited by Aynur Sar\u0026amp;imath;sakaloğlu 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. \u003c\/p\u003e\u003cp\u003eOrganized 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. \u003c\/p\u003e\u003cp\u003eContaining rigorous interdisciplinary scholarship and broad geographical coverage, \u003ci\u003eThe Handbook of Artificial Intelligence and Journalism:\u003c\/i\u003e \u003c\/p\u003e\u003cul\u003e \u003cli\u003eIntegrates theoretical foundations, empirical studies, and practical applications in a cohesive structure\u003c\/li\u003e \u003cli\u003eOffers 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\u003c\/li\u003e \u003cli\u003eEmploys interdisciplinary frameworks to enhance the understanding of AI-driven journalism\u003c\/li\u003e \u003cli\u003eExamines the sociotechnical dynamics of AI, including its potential benefits and challenges for journalism\u003c\/li\u003e \u003cli\u003ePresents forward-looking reflections on the future of journalism research in the AI era\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eThe Handbook of Artificial Intelligence and Journalism\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003ePreface\u003c\/p\u003e \u003cp\u003eAbout the Editors\u003c\/p\u003e \u003cp\u003eNotes on Contributors\u003c\/p\u003e \u003cp\u003eIntroduction\u003c\/p\u003e \u003cp\u003e1 The Evolution of Journalism in the Era of Artificial Intelligence\u003c\/p\u003e \u003cp\u003e Aynur Sarısakaloğlu and Martin Löffelholz\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Deciphering the Algorithmization of Journalism\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2 Conceptualization of Artificial Intelligence\u003c\/p\u003e \u003cp\u003e Aynur Sarısakaloğlu\u003c\/p\u003e \u003cp\u003e3 Algorithmic Innovations in Journalism\u003c\/p\u003e \u003cp\u003e John V. Pavlik\u003c\/p\u003e \u003cp\u003e4 Charting the Research Field of Algorithm-Driven Journalism\u003c\/p\u003e \u003cp\u003e Aynur Sarısakaloğlu\u003c\/p\u003e \u003cp\u003e5 Conceptualizing Algorithm-Driven Journalism within Cosmopolitan Communication Studies\u003c\/p\u003e \u003cp\u003e Pauline Gidget Estella and Aynur Sarısakaloğlu\u003c\/p\u003e \u003cp\u003e6 Reflections on Evolving Approaches for Researching Artificial Intelligence and Journalism\u003c\/p\u003e \u003cp\u003e Mario Haim and Roxana L. Quintanilla Portugal\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Organizing, Producing, and Acting in Algorithm-Driven Journalism\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7 Artificial Intelligence in the News Media from an Organizational and Strategic Perspective\u003c\/p\u003e \u003cp\u003e Jenny Wiik\u003c\/p\u003e \u003cp\u003e8 News Tech Companies Transforming Media Business Models in the Age of Artificial Intelligence\u003c\/p\u003e \u003cp\u003e Mathias-Felipe de-Lima-Santos\u003c\/p\u003e \u003cp\u003e9 Toward Responsible Innovation of Artificial Intelligence in Local Journalism\u003c\/p\u003e \u003cp\u003e Bartosz Wilczek\u003c\/p\u003e \u003cp\u003e10 Rethinking Journalistic Role Conceptions and Role Performance as Artificial Intelligence Integrates Into Newsrooms\u003c\/p\u003e \u003cp\u003e Nicole Blanchett and Angela Misri\u003c\/p\u003e \u003cp\u003e11 The Evolving Role of Journalists as Gatekeepers in the Age of (Generative) Artificial Intelligence\u003c\/p\u003e \u003cp\u003e Hannes Cools\u003c\/p\u003e \u003cp\u003e12 Algorithmic Turn in Journalistic Competencies and Journalism Education\u003c\/p\u003e \u003cp\u003e Andrea Hickerson\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Algorithmically Generated News Content\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13 Incorporation of Journalistic Approaches into Algorithm Design\u003c\/p\u003e \u003cp\u003e Mariella Bastian, Damian Trilling and Mykola Makhortykh\u003c\/p\u003e \u003cp\u003e14 Making Sense of Journalistic Quality in the Age of Artificial Intelligence\u003c\/p\u003e \u003cp\u003e Dennis Reineck\u003c\/p\u003e \u003cp\u003e15 Using Artificial Intelligence for Investigative Journalism\u003c\/p\u003e \u003cp\u003e Jessica Kunert\u003c\/p\u003e \u003cp\u003e16 Artificial Intelligence and Misinformation, Disinformation, Fake News, and Deepfakes\u003c\/p\u003e \u003cp\u003e Regina Cazzamatta\u003c\/p\u003e \u003cp\u003e17 Exploring Algorithmic Biases in AI-Supported Journalism\u003c\/p\u003e \u003cp\u003e Leo Leppänen\u003c\/p\u003e \u003cp\u003e18 Ethical Implications, Algorithmic Accountability and Artificial Intelligence in Journalism\u003c\/p\u003e \u003cp\u003e Colin Porlezza and Laura Amigo\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Reception and Effects of Algorithm-Driven News Products\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e19 Interactive AI-Supported News Systems and the Transformation of Recipients’ Role\u003c\/p\u003e \u003cp\u003e Daniel Trielli\u003c\/p\u003e \u003cp\u003e20 Perception of Nonhuman- versus Human-Written News by Recipients\u003c\/p\u003e \u003cp\u003e Jessica Kunert\u003c\/p\u003e \u003cp\u003e21 Impact of Personalization Algorithms on News Reception\u003c\/p\u003e \u003cp\u003e Mykola Makhortykh and Victoria Vziatysheva\u003c\/p\u003e \u003cp\u003e22 Humans’ Perceptions of Artificial Intelligence News Anchors\u003c\/p\u003e \u003cp\u003e Kelly Merrill Jr\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart V Algorithm-Driven Journalism in the Global South\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e23 Bridging the Artificial Intelligence Divide in Journalism Through Detection Tools, Attribution, and Transparency\u003c\/p\u003e \u003cp\u003e Regina Luttrell, Jason Davis and Carrie Welch\u003c\/p\u003e \u003cp\u003e24 Algorithm-Driven Journalism in Latin American Countries\u003c\/p\u003e \u003cp\u003e Danilo Rothberg and Verena R. F. Moraes\u003c\/p\u003e \u003cp\u003e25 Artificial Intelligence Technologies in Journalism in China\u003c\/p\u003e \u003cp\u003e Joanne Kuai, Xueying Wang and Michael Karlsson\u003c\/p\u003e \u003cp\u003e26 Adoption of Artificial Intelligence in Indonesian Newswork\u003c\/p\u003e \u003cp\u003e Detta Rahmawan, Justito Adiprasetio and Subekti Priyadharma\u003c\/p\u003e \u003cp\u003e27 Artificial Intelligence Technologies in Africa With a Focus on South African Journalism\u003c\/p\u003e \u003cp\u003e Marenet Jordaan\u003c\/p\u003e \u003cp\u003eSumming Up: Future Trends and Prospects in Journalism\u003c\/p\u003e \u003cp\u003e28 Journalism in 2030: Research Perspectives on Artificial Intelligence and Newswork\u003c\/p\u003e \u003cp\u003e Martin Löffelholz and Aynur Sarısakaloğlu\u003c\/p\u003e \u003cp\u003eIndex\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eDr. Aynur Sar\u0026amp;imath;sakaloğlu\u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Martin Löffelholz\u003c\/b\u003e 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.\u003c\/p\u003e","brand":"Wiley-Blackwell","offers":[{"title":"Default Title","offer_id":47990245818597,"sku":"NP9781394250394","price":195.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781394250394.jpg?v=1761787049","url":"https:\/\/k12savings.com\/products\/the-handbook-of-artificial-intelligence-and-journalism-isbn-9781394250394","provider":"K12savings","version":"1.0","type":"link"}