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.

As author Philip Meyer sat in a college class listening to a professor lecture about systematic tools for measuring things like trust in government, a thought struck him: a journalist could do this! He thought about the newsroom conversations he’d had about the possibility of reporting on some interesting social phenomena. The group always ended with a shrug and a lament that there was no way to measure it—but he began to wonder. It was an epiphany for Meyer, who went on to report on the 1967 racial riots in Detroit and write the groundbreaking book Precision Journalism. While others were arguing that reporters should not use scientific methods to make conclusions of their own, Meyer was using computers and statistical software to elevate the standards of traditional journalism. At age fifty, he switched gears and entered the world of academe, where he continues to stir the pot. In Paper Route, he recalls two interconnected careers and examines how journalism, quantitative methods, and original thinking led him to live the remarkable life that he’s still enjoying.

The reprint edition of a 1991 guide to "precision journalism," which uses social science research methods to increase the depth and accuracy of news stories. The method is in contrast to the more artful approach of "new journalism" writers like Tom Wolfe who use short-story techniques to illuminate nonfiction. Meyer (journalism, U. of North Carolina at Chapel Hill) covers the history of journalism in the scientific tradition; elements and techniques of data analysis; the use of statistics, computers, surveys, and field experiments; database applications; election surveys; and the politics of precision journalism. Annotation copyrighted by Book News, Inc., Portland, OR

Meyer (journalism, U. of North Carolina at Chapel Hill) advocates for the use of social science research methods in the reporting of news stories. As an example, he cites how a reporter analyzed storm damage inspections, property tax rolls, Dade County's Building Master File, and the county's Building and Zoning database to show how relative levels of damage from Hurricane Andrew were directly related to weakened building codes. He describes the use of surveys, databases, computer analyses, and other tools of the social sciences in analyzing and presenting information. The previous edition of this work was titled The New Precision Journalism. Annotation copyrighted by Book News, Inc., Portland, OR

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

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.