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.

This straightforward and effective how-to guide provides the basics for any journalist or 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. The book pays particular attention to the need for accuracy in computer-assisted reporting and to both the potential and pitfalls in utilizing large datasets in journalism. An ideal core text for courses on data-driven journalism or computer-assisted reporting, Houston pushes back on current trends by helping current and future journalists become more accountable for the accuracy and relevance of the data they acquire and share. Online instructor's materials are available to adopting professors, and additional exercises are available free online to students at the below address: http://ire.org/carbook/ username: carbook password: carbook4

Conducting computer analyses for the purposes of revealing information of significance to the press represents an extension of one of the most important forms of American journalism into the contemporary era of new technologies. Investigative reporting had its start with the establishment of the metropolitan newspaper during the early decades of the 1900s. At the time, it was a continuation of the evolving tradition of freedom of the press that had characterized American political life since colonial times. As it developed, investigative reporting stressed facts rather than the opinions of the editor or reporter. In turn, that tradition had its own intellectual roots. Today, computer-assisted investigative reporting (CAIR) extends that "marketplace of ideas" into systematic examinations of the electronic records of government. In addition, computer analyses of other kinds of information systematically gathered by journalists can provide the press with insights into trends and patterns unlikely to be revealed by other means. This unique volume addresses procedures and issues in investigative journalism that have not been explained in other publications. It sets forth -- for the first time -- a detailed and specific methodology for conducting computer-assisted investigative analyses of both large and small scale electronic records of government and other agencies. That methodology consists of the logic of inquiry, strategies for reaching valid conclusions, and rules for reporting what has been revealed by the analyses to the public in clear ways. Such systematic methodologies are essential in social and other sciences and the development of a counterpart for investigative journalism has been badly needed. That systematic methodology is developed within a context that explains the origin and major characteristics of those elements that have come together in American society to make computer-assisted investigative reporting both possible and increasingly a part of standard newsroom practices. These include the development of traditional investigative journalism, the evolution of computer technology, the use of computers by government to keep records, the legal evolution of freedom of information laws, the rapid adoption of computers in newsrooms, the increasing importance of precision journalism, and the sharp increase in recent times of computer-assisted investigative reporting by American newspapers both large and small. The issues addressed in this book are discussed in a very readable context with an abundance of examples and illustrations drawn from the real world of journalism as it is practiced daily in newsrooms around the country. Explanations of concepts, principles, and procedures are set forth in layperson's terms that require very little in the way of knowledge of computers or statistical methods.

Philip Meyer's work in precision journalism established a new and ongoing trend-the use by reporters of social science research techniques to increase the depth and accuracy of major stories. In this fully updated, fourth edition of the classic Precision Journalism (known as The New Precision Journalism in its third edition), Meyer shows journalists and students of journalism how to use new technology to analyze data and provide more precise information in easier-to-understand forms. New to this edition are an overview of the use of theory and science in journalism; game theory applications; introductions to lurking variables and multiple and logistic regression; and developments in election surveys. Key topics retained and updated include elements of data analysis; the use of statistics, computers, surveys, and experiments; database applications; and the politics of precision journalism. This accessible book is an important resource for working journalists and an indispensable text for all journalism majors.

Winner of the Goldsmith Book Prize, Shorenstein Center on Media, Politics and Public Policy at the Harvard Kennedy School of Government Winner of the Tankard Book Award, Association for Education in Journalism and Mass Communication Winner of the Frank Luther Mott–Kappa Tau Alpha Journalism & Mass Communication Research Award In democratic societies, investigative journalism holds government and private institutions accountable to the public. From firings and resignations to changes in budgets and laws, the impact of this reporting can be significant—but so too are the costs. As newspapers confront shrinking subscriptions and advertising revenue, who is footing the bill for journalists to carry out their essential work? Democracy’s Detectives puts investigative journalism under a magnifying glass to clarify the challenges and opportunities facing news organizations today. “Hamilton’s book presents a thoughtful and detailed case for the indispensability of investigative journalism—and just at the time when we needed it. Now more than ever, reporters can play an essential role as society’s watchdogs, working to expose corruption, greed, and injustice of the years to come. For this reason, Democracy’s Detectives should be taken as both a call to arms and a bracing reminder, for readers and journalists alike, of the importance of the profession.” —Anya Schiffrin, The Nation “A highly original look at exactly what the subtitle promises...Has this topic ever been more important than this year?” —Tyler Cowen, Marginal Revolution

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

"Investigative Journalism means the unveiling of matters that are concealed either deliberately by someone in a position of power, or accidentally, behind a chaotic mass of facts and circumstances - and the analysis and exposure of all relevant facts to the public. In this way investigative journalism crucially contributes to freedom of expression and freedom of information, which are at the heart of UNESCO's mandate. The role media can play as a watchdog is indispensable for democracy and it is for this reason that UNESCO fully supports initiatives to strengthen investigative journalism throughout the world. I believe this publication makes a significant contribution to promoting investigative journalism and I hope it will be a valuable resource for journalists and media professionals, as well as for journalism trainers and educators." -- Jānis Kārklinš, Assistant Director-General for Communication and Information, UNESCO, Preface, page 1.

Published with Investigative Reporters and Editors, Inc. (IRE), The Investigative Reporters Handbook is the best-selling classroom and newsroom classic. Useful as a textbook in advanced journalism courses and as a reference for professional journalists, this book shows students how to use fundamental news reporting and writing skills like gathering sources, tracking information, and interviewing to pursue investigative stories in a variety of beats from the government and education to healthcare, the environment and real estate. In addition to discussing the latest techniques and challenges in the profession, the fifth edition is now thoroughly streamlined, making it easier to locate the resources that investigative reporters need to get the story.

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.

This dictionary includes over 1,400 entries covering terminology related to the practice, business, and technology of journalism, as well as its concepts and theories, institutions, publications, and key events. An essential companion for all students taking courses in Journalism and Journalism Studies, as well as related subjects.