This book examines the growing importance of algorithms and automationincluding emerging forms of artificial intelligencein the gathering, composition, and distribution of news. In it the authors connect a long line of research on journalism and computation with scholarly and professional terrain yet to be explored.
Taken as a whole, these chapters share some of the noble ambitions of the pioneering publications on reporting algorithms, such as a desire to see computing help journalists in their watchdog role by holding power to account. However, they also go further, firstly by addressing the fuller range of technologies that computational journalism now consists of: from chatbots and recommender systems to artificial intelligence and atomised journalism. Secondly, they advance the literature by demonstrating the increased variety of uses for these technologies, including engaging underserved audiences, selling subscriptions, and recombining and re-using content. Thirdly, they problematise computational journalism by, for example, pointing out some of the challenges inherent in applying artificial intelligence to investigative journalism and in trying to preserve public service values. Fourthly, they offer suggestions for future research and practice, including by presenting a framework for developing democratic news recommenders and another that may help us think about computational journalism in a more integrated, structured manner.
The chapters in this book were originally published as a special issue of Digital Journalism.
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vii | |
| Notes on Contributors |
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ix | |
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1 Introduction: Algorithms, Automation, and News |
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1 | (13) |
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2 On the Democratic Role of News Recommenders |
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14 | (20) |
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3 Newsbots That Mediate Journalist and Audience Relationships |
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34 | (19) |
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4 Public Service Chatbots: Automating Conversation with BBC News |
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53 | (22) |
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5 Selling News to Audiences -- A Qualitative Inquiry into the Emerging Logics of Algorithmic News Personalization in European Quality News Media |
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75 | (22) |
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6 Making Artificial Intelligence Work for Investigative Journalism |
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97 | (22) |
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7 Human Still in the Loop. Editors Reconsider the Ideals of Professional Journalism Through Automation |
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119 | (19) |
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8 News Algorithms, Photojournalism and the Assumption of Mechanical Objectivity in Journalism |
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138 | (17) |
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9 Structured Journalism and the Semantic Units of News |
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155 | (23) |
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10 Atomising the News: The (In)Flexibility of Structured Journalism |
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178 | (23) |
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11 Towards a Design Orientation on Algorithms and Automation in News Production |
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201 | (5) |
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12 Prioritizing the Audience's View of Automation in Journalism |
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206 | (6) |
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| Index |
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212 | |
Neil Thurman is Professor of Communication in the Department of Media and Communication at LMU Munich, Germany, a Volkswagen Foundation Freigeist Fellow, and an Honorary Senior Research Fellow in the Department of Journalism at City, University of London, UK.
Seth C. Lewis is Professor and Shirley Papé Chair in Emerging Media in the School of Journalism and Communication at the University of Oregon, USA, Visiting Fellow with the Reuters Institute for the Study of Journalism at the University of Oxford, UK, and Chair of the Journalism Studies Division of the International Communication Association.
Jessica Kunert is Senior Research Associate in the Institute for Journalism and Communication Studies at the University of Hamburg, Germany.
