Recent advances in digital technologies are allowing data journalists to find and tell stories in new and visually exciting ways, often working in collaboration with developers, statisticians and designers. It's a new frontier for many newsrooms, but not without its own teething pains. This much anticipated follow-up volume to the bestselling Data Journalism: Mapping the future features 30 chapters from journalists, developers and academics on both sides of the Atlantic and further afield. It is an essential primer for wannabe data hacks and others interested in the trade. The Editors: Tom Felle lectures at the Department of Journalism, City University London; John Mair is a journalism academic and former BBC director/producer; Damian Radcliffe is Carolyn S Chambers Professor in Journalism at the University of Oregon. Contributors include Simon Rogers, Data Editor at Google; Nick Phipps, an editor at Sky News; Helena Bengtsson, Editor, Data Projects at the Guardian; Megan Lucero, Data Journalism Editor at The Times and The Sunday Times, London; and Steve Doig, Knight Chair in Journalism at the Walter Cronkite School of Journalism and Mass Communication, Arizona State University. Kathryn Corrick, independent consultant; Eva Constantaras, Internews; Andy Dickinson, University of Central Lancashire; Gavin Freeguard, Institute for Government; Adam Frost and Tobias Sturt, Graphic; Jan Goodey, Kingston University, London; Alexander B Howard, writer and editor, Washington, DC; Kathryn Hayes, University of Limerick, Ireland; Jonathan Hewett, City University London; Bella Hurrell and John Walton, BBC Visual Journalism team; Liz Hannaford, Manchester Metropolitan University; Gabriel Keeble-Gagnere, Murdoch University, Perth, Australia; Isabelle Marchand, data journalist, PRISM; Martin Moore and Gordon Neil Ramsay, Kings College London; Matteo Moretti, Free University of Bozen-Bolzano; Sanjit Oberai, Quintillion; AEndrew Rininsland, The Times and The Sunday Times, London; Zara Rahman, researcher and writer, Berlin, Germany; Emily Shackleton, digital journalist, London; Jonathan Spencer, BBC News; Nicole Smith Dahmen, University of Oregon; Jonathan Stoneman, former journalist at the BBC Word Service; and Jacqui Taylor, founder, FlyingBinary."

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.

This volume seeks to analyse the emerging wave of data journalism in the Global South. It does so by examining trends, developments and opportunities for data journalism in the aforementioned contexts. Whilst studies in this specific form of journalism are increasing in numbers and significance, there remains a dearth of literature on data journalism in less developed regions of the world. By demonstrating an interest in data journalism across countries including Chile, Argentina, the Philippines, South Africa and Iran, among others, this volume contributes to multifaceted transnational debates on journalism, and is a crucial reference text for anyone interested in data journalism in the ‘developing’ world. Drawing on a range of voices from different fields and nations, sharing empirical and theoretical experiences, the volume aims to initiate a global dialogue among journalism practitioners, researchers and students.

The idea of the journo-coder, programmer-journalist, hacker-journalist, journo-programmer (the terminology is undecided) is gaining ground as data journalism develops both in Britain and internationally. Programmers are coming into newsrooms, journalists are venturing further into programming and there is some blurring where the two meet. Data journalism (DJ) is certainly becoming the Big Buzz Story in the media but so far little has been written about it. This new, jargon-free text, edited by John Mair and Richard Lance Keeble (with Teodora Beleaga and Paul Bradshaw), provides an original and thought-provoking insight into DJ. The first section, with contributions from Teodora Beleaga and Simon Rogers. explores various definitions of DJ; in another, experts, such as Paul Bradshaw, Nicola Hughes, Daniel Ionescu and Pupul Chatterjee provide some useful tips on developing DJ skills. Tom Felle interviews a group of international data journalists and finds they all argue their work can play a crucial democratic role in holding the powerful to account Andy Dickinson wonders if the growing field of sensor journalism offers an insight into what comes next for DJ Jacqui Taylor, Bella Hurrell and John Walton focus on data visualisations AEndrew Rininsland argues that anyone "willing to learn D3 will find they are given an unparalleled ability to create visualisations that bring data alive" Arthur Lashmar shows how an international consortium of journalists used DJ skills to expose the use of offshore tax havens by the world's rich and famous Other chapters are provided by Chris Frost, Liz Hannaford, Jonathan Hewett, Gabriel Keeble-Gagnere, Damian Radcliffe, Yaneng Feng, Qian Li and John Burn-Murdoch

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

This book offers an interdisciplinary introduction to data journalism, offering a unique combination of critical reflection and practical insight into the field, including how data journalism is done around the world and the broader consequences of datafication in the news.

"Latin American journalism is currently experiencing some important transformations, with potential changes to how news is produced, shared, financed and consumed. This book provides a comprehensive overview of current journalism in Latin America, contextualized by global literature and regional empirical evidence. It is an important addition to our understanding of digital journalism and a must-read for those interested in journalism in Latin America." Dr. Vanessa de Macedo Higgins Joyce, Texas State University, USA This book explores innovative approaches to digital and data journalism in Latin America, brought by both legacy media and newcomers to the industry, with the purpose of examining this changing media landscape. As part of the Global South, Latin America has shown significant influence in the promotion of data and digital technologies applied to journalism in recent years. In this region, news entrepreneurs are becoming an essential source of innovation in news production, circulation, and distribution. The book considers news media, particularly in Latin America, as an open set of practices intertwined in the evolution of technology. It discusses the transformation of the Latin American news media ecosystem and considers how it has shaped the industry despite local differences. The study fills a significant gap in academic scholarship by addressing the multiple external factors, mainly political and economic, which have contributed to the relative lack of studies on the patterns of journalism in this region. Ramón Salaverría is Associate Dean of Research at the School of Communication, University of Navarra, Spain, where he heads the Digital News Media Research Group. Author of over 200 scholarly publications, his research focuses on digital journalism and media convergence, both in national and international comparative studies. Mathias-Felipe de-Lima-Santos is a researcher at the University of Navarra, Spain, under the JOLT project, a Marie Skłodowska-Curie European Training Network funded by the European Commission's Horizon 2020. Previously, he was a Visiting Researcher at the Queensland University of Technology, Australia. He researches changing journalistic practice with a particular focus on business models, data, and novel technologies.

Big data is marked by staggering growth in the collection and analysis of digital trace information regarding human and natural activity, bound up in and enabled by the rise of persistent connectivity, networked communication, smart machines, and the internet of things. In addition to their impact on technology and society, these developments have particular significance for the media industry and for journalism as a practice and a profession. These data-centric phenomena are, by some accounts, poised to greatly influence, if not transform, some of the most fundamental aspects of news and its production and distribution by humans and machines. What such changes actually mean for news, democracy, and public life, however, is far from certain. As such, there is a need for scholarly scrutiny and critique of this trend, and this volume thus explores a range of phenomena—from the use of algorithms in the newsroom, to the emergence of automated news stories—at the intersection between journalism and the social, computer, and information sciences. What are the implications of such developments for journalism’s professional norms, routines, and ethics? For its organizations, institutions, and economics? For its authority and expertise? And for the epistemology that underwrites journalism’s role as knowledge-producer and sense-maker in society? Altogether, this book offers a first step in understanding what big data means for journalism. This book was originally published as a special issue of Digital Journalism.

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.

An exploration of the diverse experiments in digital futures as they advance far from the celebrated centers of technological innovation and entrepreneurship. In Networking Peripheries, Anita Chan shows how digital cultures flourish beyond Silicon Valley and other celebrated centers of technological innovation and entrepreneurship. The evolving digital cultures in the Global South vividly demonstrate that there are more ways than one to imagine what digital practice and global connection could look like. To explore these alternative developments, Chan investigates the diverse initiatives being undertaken to “network” the nation in contemporary Peru, from attempts to promote the intellectual property of indigenous artisans to the national distribution of digital education technologies to open technology activism in rural and urban zones. Drawing on ethnographic accounts from government planners, regional free-software advocates, traditional artisans, rural educators, and others, Chan demonstrates how such developments unsettle dominant conceptions of information classes and innovations zones. Government efforts to turn rural artisans into a new creative class progress alongside technology activists' efforts to promote indigenous rights through information tactics; plans pressing for the state wide adoption of open source–based technologies advance while the One Laptop Per Child initiative aims to network rural classrooms by distributing laptops. As these cases show, the digital cultures and network politics emerging on the periphery do more than replicate the technological future imagined as universal from the center.