From data-rich infographics to 140 character tweets and activist cell phone photos taken at political protests, 21st century journalism is awash in new ways to report, display, and distribute the news. Computational journalism, in particular, has been the object of recent scholarly and industry attention as large datasets, powerful algorithms, and growing technological capacity at news organizations seemingly empower journalists and editors to report the news in creative ways. Can journalists use data--along with other forms of quantified information such as paper documents of figures, data visualizations, and charts and graphs--in order to produce better journalism? In this book, C.W. Anderson traces the genealogy of data journalism and its material and technological underpinnings, arguing that the use of data in news reporting is inevitably intertwined with national politics, the evolution of computable databases, and the history of professional scientific fields. It is impossible to understand journalistic uses of data, Anderson argues, without understanding the oft-contentious relationship between social science and journalism. It is also impossible to disentangle empirical forms of public truth telling without first understanding the remarkably persistent Progressive belief that the publication of empirically verifiable information will lead to a more just and prosperous world. Anderson considers various types of evidence (documents, interviews, informational graphics, surveys, databases, variables, and algorithms) and the ways these objects have been used through four different eras in American journalism (the Progressive Era, the interpretive journalism movement of the 1930s, the invention of so-called "precision journalism," and today's computational journalistic moment) to pinpoint what counts as empirical knowledge in news reporting. Ultimately the book shows how the changes in these specifically journalistic understandings of evidence can help us think through the current "digital data moment" in ways that go beyond simply journalism.
Auteur
C.W. Anderson is Professor of Media and Communication at the University of Leeds. He studies journalism, politics, and how the production of public knowledge is being transformed in the digital age. He is the author, co-author, or co-editor of several books including Rebuilding the News, Remaking News (with Pablo Boczkowski), and News: What Everyone Needs to Know (with Michael Schudson and Len Downie).
Contenu
Acknowledgements Chapter One: Introduction Chapter Two: The Idea of Data, Documents, and Evidence in Early 20th Century Journalism Chapter Three: Journalism Interprets, Sociology Scientizes: Boundary Work Between Empirical Occupations in the 1920s and Beyond Chapter Four: Context, Social Science, and the Birth of Precision Journalism Chapter Five: Precision Becomes Data Chapter Six: Databases, Stories, Databases: Narrative, Semantics, and Computational Journalism Chapter Seven: Three Overview Cases: Varieties of Information in the Digital Age Chapter Eight: Solidarity and Uncertainty Appendix: On Objects, Objectivity, and Method Primary Sources and Archives Bibliography Index