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Author: Alfred Hermida
Publisher: Routledge
ISBN: 1351672509
Category : Social Science
Languages : en
Pages : 165
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Book Description
Data Journalism and the Regeneration of News traces the emergence of data journalism through a scholarly lens. It reveals the growth of data journalism as a subspecialty, cultivated and sustained by an increasing number of professional identities, tools and technologies, educational opportunities and new forms of collaboration and computational thinking. The authors base their analysis on five years of in-depth field research, largely in Canada, an example of a mature media system. The book identifies how data journalism’s development is partly due to it being at the center of multiple crises and shocks to journalism, including digitalization, acute mis- and dis-information concerns and increasingly participatory audiences. It highlights how data journalists, particularly in well-resourced newsrooms, are able to address issues of trust and credibility to advance their professional interests. These journalists are operating as institutional entrepreneurs in a field still responding to the disruption effects of digitalization more than 20 years ago. By exploring the ways in which data journalists are strategically working to modernize the way journalists talk about methods and maintain journalism authority, Data Journalism and the Regeneration of News introduces an important new dimension to the study of digital journalism for researchers, students and educators.
Author: Alfred Hermida
Publisher: Routledge
ISBN: 1351672509
Category : Social Science
Languages : en
Pages : 165
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Book Description
Data Journalism and the Regeneration of News traces the emergence of data journalism through a scholarly lens. It reveals the growth of data journalism as a subspecialty, cultivated and sustained by an increasing number of professional identities, tools and technologies, educational opportunities and new forms of collaboration and computational thinking. The authors base their analysis on five years of in-depth field research, largely in Canada, an example of a mature media system. The book identifies how data journalism’s development is partly due to it being at the center of multiple crises and shocks to journalism, including digitalization, acute mis- and dis-information concerns and increasingly participatory audiences. It highlights how data journalists, particularly in well-resourced newsrooms, are able to address issues of trust and credibility to advance their professional interests. These journalists are operating as institutional entrepreneurs in a field still responding to the disruption effects of digitalization more than 20 years ago. By exploring the ways in which data journalists are strategically working to modernize the way journalists talk about methods and maintain journalism authority, Data Journalism and the Regeneration of News introduces an important new dimension to the study of digital journalism for researchers, students and educators.
Author: Jonathan Gray
Publisher: "O'Reilly Media, Inc."
ISBN: 1449330029
Category : Language Arts & Disciplines
Languages : en
Pages : 243
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Book Description
When you combine the sheer scale and range of digital information now available with a journalist’s "nose for news" and her ability to tell a compelling story, a new world of possibility opens up. With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field. This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both. Examine the use of data journalism at the BBC, the Chicago Tribune, the Guardian, and other news organizations Explore in-depth case studies on elections, riots, school performance, and corruption Learn how to find data from the Web, through freedom of information laws, and by "crowd sourcing" Extract information from raw data with tips for working with numbers and statistics and using data visualization Deliver data through infographics, news apps, open data platforms, and download links
Author: C.W. Anderson
Publisher: Oxford University Press
ISBN: 0190492368
Category : Language Arts & Disciplines
Languages : en
Pages : 256
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Book Description
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.
Author: Sylvain Parasie
Publisher: Columbia University Press
ISBN: 0231553277
Category : Language Arts & Disciplines
Languages : en
Pages : 169
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Book Description
Faced with a full-blown crisis, a growing number of journalists are engaging in seemingly unjournalistic practices such as creating and maintaining databases, handling algorithms, or designing online applications. “Data journalists” claim that these approaches help the profession demonstrate greater objectivity and fulfill its democratic mission. In their view, computational methods enable journalists to better inform their readers, more closely monitor those in power, and offer deeper analysis. In Computing the News, Sylvain Parasie examines how data journalists and news organizations have navigated the tensions between traditional journalistic values and new technologies. He traces the history of journalistic hopes for computing technology and contextualizes the surge of data journalism in the twenty-first century. By importing computational techniques and ways of knowing new to journalism, news organizations have come to depend on a broader array of human and nonhuman actors. Parasie draws on extensive fieldwork in the United States and France, including interviews with journalists and data scientists as well as a behind-the-scenes look at several acclaimed projects in both countries. Ultimately, he argues, fulfilling the promise of data journalism requires the renewal of journalistic standards and ethics. Offering an in-depth analysis of how computing has become part of the daily practices of journalists, this book proposes ways for journalism to evolve in order to serve democratic societies.
Author: Mike Reilley
Publisher: Taylor & Francis
ISBN: 1000811972
Category : Language Arts & Disciplines
Languages : en
Pages : 248
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Book Description
Taking a hands-on and holistic approach to data, Data + Journalism provides a complete guide to reporting data-driven stories. This book offers insights into data journalism from a global perspective, including datasets and interviews with data journalists from countries around the world. Emphasized by examples drawn from frequently updated sets of open data posted by authoritative sources like the FBI, Eurostat and the US Census Bureau, the authors take a deep dive into data journalism’s "heavy lifting" – searching for, scraping and cleaning data. Combined with exercises, video training supplements and lists of tools and resources at the end of each chapter, readers will learn not just how to crunch numbers but also how to put a human face to data, resulting in compelling, story-driven news stories based on solid analysis. Written by two experienced journalists and data journalism teachers, Data + Journalism is essential reading for students, instructors and early career professionals seeking a comprehensive introduction to data journalism skills.
Author: C.W. Anderson
Publisher: Oxford University Press
ISBN: 0190492368
Category : Language Arts & Disciplines
Languages : en
Pages : 256
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Book Description
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.
Author: Thomas R. Schmidt
Publisher: University of Missouri Press
ISBN: 0826274315
Category : Language Arts & Disciplines
Languages : en
Pages : 181
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Book Description
Between the 1970s and the 1990s American journalists began telling the news by telling stories. They borrowed narrative techniques, transforming sources into characters, events into plots, and their own work from stenography to anthropology. This was more than a change in style. It was a change in substance, a paradigmatic shift in terms of what constituted news and how it was being told. It was a turn toward narrative journalism and a new culture of news, propelled by the storytelling movement. Thomas Schmidt analyzes the expansion of narrative journalism and the corresponding institutional changes in the American newspaper industry in the last quarter of the twentieth century. In doing so, he offers the first institutionally situated history of narrative journalism’s evolution from the New Journalism of the 1960s to long-form literary journalism in the 1990s. Based on the analysis of primary sources, industry publications, and oral history interviews, this study traces how narrative techniques developed and spread through newsrooms, advanced by institutional initiatives and a growing network of practitioners, proponents, and writing coaches who mainstreamed the use of storytelling. Challenging the popular belief that it was only a few talented New York reporters (Tome Wolfe, Jimmy Breslin, Gay Talese, Joan Didion, and others) who revolutionized journalism by deciding to employ storytelling techniques in their writing, Schmidt shows that the evolution of narrative in late twentieth century American Journalism was more nuanced, more purposeful, and more institutionally based than the New Journalism myth suggests.
Author: C. W. Anderson
Publisher: Oxford Studies in Digital Poli
ISBN: 9780190492342
Category : Language Arts & Disciplines
Languages : en
Pages : 240
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Book Description
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.
Author: John Mair
Publisher: Theschoolbook.com
ISBN: 9781845497149
Category : Computers
Languages : en
Pages : 264
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Book Description
Data journalism: Past, present and future Foreword by Simon Rogers, Head of Google Data Lab8 This is the third in the Abramis Data Journalism series and twenty first in the acclaimed 'hackademic' series. As ever with a new collection, there are new authors and fresh perspectives. A vast range of topics is covered - including the Panama Papers exposE, the role of data journalism in the recent UK general elections and referenda, the challenges facing DJ in China and Russia, and an overview of the history of DJ in the US and UK - while experts provide tips on improving DJ skills. The authors include some of the world's leading data journalists - and top academics, trainers and activists in the field: Mar Cabra, Lucas Batt, Paul Bradshaw, Adam Cantwell-Corn, Harry Carr, Erin Coates, Aasma Day, Shiting Ding, Peter Geoghegan, Leila Haddou, Kathryn Hayes, Bahareh Heravi, Jonathan Hewett, Eliot Higgins, Bella Hurrell, Teresa Jolley, Marie Kinsey, Sixian Li, Joseph O'Leary, Isabelle Marchand, Claire Miller, Petar Milin, Rob Minto, Martin Moore, William Perrin, Damian Radcliffe, Gordon M. Ramsay, Simon Rogers, Sarah Rose, Jonathan Spencer, Anastasia Veleeva, John Walton and Hugh Westbrook. Editors John Mair is the series editor of the Abramis 'hackademic' books. Professor Richard Lance Keeble has co-edited many of them with him and is the author or editor of 36 books. Megan Lucero is the Director of the new data journalism hub at the Bureau of Investigative Journalism and Martin Moore is the Director of the Centre for the Study of Media, Communication and Power at King's College London.
Author: Jonathan Gray
Publisher: Amsterdam University Press
ISBN: 9048542073
Category : Computers
Languages : en
Pages :
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Book Description
The Data Journalism Handbook: Towards a Critical Data Practice provides a rich and panoramic introduction to data journalism, combining both critical reflection and practical insight. It offers a diverse collection of perspectives on how data journalism is done around the world and the broader consequences of datafication in the news, serving as both a textbook and a sourcebook for this emerging field. With more than 50 chapters from leading researchers and practitioners of data journalism, it explores the work needed to render technologies and data productive for journalistic purposes. It also gives a 'behind the scenes' look at the social lives of datasets, data infrastructures, and data stories in newsrooms, media organizations, startups, civil society organizations and beyond. The book includes sections on 'doing issues with data', 'assembling data', 'working with data', 'experiencing data', 'investigating data, platforms and algorithms', 'organizing data journalism', 'learning data journalism together' and 'situating data journalism'.
