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.

How do we practice journalism in a digital world, in which the old 'rules' no longer apply? This text offers comprehensive, instructive coverage of the techniques and secrets of being a successful online journalist, both from a theoretical and practical point of view. Reflecting the vitality of the web, it will inspire you to acquire new skills and make sense of a transforming industry. Key Features: How to investigate and break stories online Learn to broadcast to millions using video and podcast How to blog like a pro Learn to manage and stimulate user-generated content Include and use social media in your toolkit How to dig out stories using data journalism Rise to the challenge of citizen journalism Make your journalism more interactive at every stage of the process Dedicated chapter for Law and Online Communication The Online Journalism Handbook is essential reading for all journalism students and professionals and of key interest to media, communication studies and more broadly the social sciences.

This straightforward and effective how-to guide provides the basics for any reporter or journalism student beginning to use data for news stories. It has step-by-step instructions on how to do basic data analysis in journalism while addressing why these digital tools should be an integral part of reporting in the 21st century. In an ideal core text for courses on data-driven journalism or computer-assisted reporting, Houston emphasizes that journalists are accountable for the accuracy and relevance of the data they acquire and share. With a refreshed design, this updated new edition includes expanded coverage on social media, scraping data from the web, and text-mining, and provides journalists with the tips and tools they need for working with data.

The production and consumption of news in the digital era is blurring the boundaries between professionals, citizens and activists. Actors producing information are multiplying, but still media companies hold central position. Journalism research faces important challenges to capture, examine, and understand the current news environment. The SAGE Handbook of Digital Journalism starts from the pressing need for a thorough and bold debate to redefine the assumptions of research in the changing field of journalism. The 38 chapters, written by a team of global experts, are organised into four key areas: Section A: Changing Contexts Section B: News Practices in the Digital Era Section C: Conceptualizations of Journalism Section D: Research Strategies By addressing both institutional and non-institutional news production and providing ample attention to the question ‘who is a journalist?’ and the changing practices of news audiences in the digital era, this Handbook shapes the field and defines the roadmap for the research challenges that scholars will face in the coming decades.

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'.

This volume sets out the state-of-the-art in the discipline of journalism at a time in which the practice and profession of journalism is in serious flux. While journalism is still anchored to its history, change is infecting the field. The profession, and the scholars who study it, are reconceptualizing what journalism is in a time when journalists no longer monopolize the means for spreading the news. Here, journalism is explored as a social practice, as an institution, and as memory. The roles, epistemologies, and ethics of the field are evolving. With this in mind, the volume revisits classic theories of journalism, such as gatekeeping and agenda-setting, but also opens up new avenues of theorizing by broadening the scope of inquiry into an expanded journalism ecology, which now includes citizen journalism, documentaries, and lifestyle journalism, and by tapping the insights of other disciplines, such as geography, economics, and psychology. The volume is a go-to map of the field for students and scholars—highlighting emerging issues, enduring themes, revitalized theories, and fresh conceptualizations of journalism.

MOJO: The Mobile Journalism Handbook is the first book devoted specifically to training citizens, journalism students and media professionals to produce professional-quality videos with only a mobile device. As journalism becomes increasingly competitive, students and emerging professionals need a broader skillset to make themselves more employable, whether as mainstream or entrepreneurial journalists. This book by Dr. Ivo Burum and Dr. Stephen Quinn, world experts in mobile journalism, provides comprehensive coverage of all the skills and practices needed to be a mobile journalist. Key features: Burum and Quinn underline the importance of story and storytelling, the crucial context journalists always need to keep in mind. Other books and tutorials merely offer step-by-step guidance to mobile technology and apps. The book synthesizes the knowledge and more than 70 years of combined expertise of two of the world’s leading mobile journalism practitioners, offering sage advice and tips from people who have trained mojos in more than 20 countries. Companion Website: How-to videos on the companion website offer powerful ways for learners to absorb the content easily, walking them through the key mojo components of research, shooting, scripting, voice-over, editing and post-production. www.routledge.com/cw/burum Ivo Burum is an award-winning writer, director and television executive producer. He has more than 30 years’ experience working across genres including frontline international current affairs. A pioneer in UGS creation, Dr. Burum lectures in multimedia journalism. This is his second book about mojo. He runs Burum Media, a mojo and web TV consultancy that provides training for journalists, educators and remote communities internationally. Stephen Quinn was a journalist for 20 years before he became a university professor in 1996. Dr. Quinn taught journalism in five countries until he returned to journalism in 2011 in Hong Kong. His UK-based company MOJO Media Insights trains mobile journalists around the world. This is his twenty-first print book. He has also produced 5 iBooks. He co-writes a weekly column syndicated to seven countries.

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.