Journalism

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.

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 data sets, data infrastructures, and data stories in newsrooms, media organizations, start-ups, 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 accessible, step-by-step guide is written for students and working professionals who want to better understand data journalism, web design, and the visualization of information. Foundations of Data and Digital Journalism recognizes a growing need for general data knowledge in newsrooms across the globe, including an understanding of what's possible for both data reporting and presentation and how it can be achieved. It serves as a roadmap for students and working journalists who seek to understand what data is and how to find it; how to harness it most effectively for news; how to think critically about analysis results, potential shortcomings in the data, and the inclusion of appropriate context; and how to present compelling, data-driven stories online. Interviews with a diverse range of current practitioners help the reader gain a deeper understanding of how these tools and techniques are used in digitally focused newsrooms today. Taking a holistic approach to data journalism, this book enables readers to: Assess a data set with a critical eye, understanding what it shows, how it was created, and for what purpose Master prominent and easily accessible software tools, including Google Sheets and R Translate findings and conclusions into plain English for a news audience without overstating what the data can show or being misleading Create impactful, attractive visualizations for an audience to explore Understand how the modern web works, including HTML5, CSS3, and responsive webpage frameworks, like Bootstrap This is an ideal textbook for undergraduate and postgraduate journalism students and for working professionals looking to expand their skillset. The book is supported with online student resources, including example datasets to support the material covered, available at Routledge.com.