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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.
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
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
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.
Under increasingly intense newsroom demands, reporters often find it difficult to cover the complexity of topics that deal with racial and social inequality. This path-breaking book lays out simple, effective reporting strategies that equip journalists to investigate disparity’s root causes. Chapters discuss how racially disparate outcomes in health, education, wealth/income, housing, and the criminal justice system are often the result of inequity in opportunity and also provide theoretical frameworks for understanding the roots of racial inequity. Examples of model reporting from ProPublica, the Center for Public Integrity, and the San Jose Mercury News showcase best practice in writing while emphasizing community-based reporting. Throughout the book, tools and practical techniques such as the Fault Lines framework, the Listening Post and the authors' Opportunity Index and Upstream-Downstream Framework all help journalists improve their awareness and coverage of structural inequity at a practical level. For students and journalists alike, Reporting Inequality is an ideal resource for understanding how to cover structures of injustice with balance and precision.
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.
Every serious student of journalism should read this book... Denis McQuail has succeeded in producing a work of scholarship that shows what journalists do and what they should do. - Stephen Coleman, University of Leeds "For a half century we have spoken earnestly of journalism′s responsibility to society instead of to business and government. Now this concept is given sophistication unmatched, by the best scholar of media theory of his generation." - Clifford Christians, University of Illinois "The grand old man of communication theory presents an overarching social theory of journalism that goes beyond the usual Anglo-American focus." - Jo Bardoel, University of Amsterdam (ASCoR) and Nijmegen "This book deals with the eternal question of how journalism is linked to society... I cannot think of a better staple food for students of journalism at all levels." - Kaarle Nordenstreng, University of Tampere This is a major new statement on the role of journalism in democracy from one of media and communication′s leading thinkers. Denis McQuail leads the reader through a systematic exploration of how and why journalism and society have become so inextricably entwined and - as importantly - what this relationship should be like. It is a strong re-statement of the fundamental values that journalism aspires to. Written for students, this book: Makes the theory accessible and relevant Teaches the importance of journalism to power and politics Explores the status and future of journalism as a profession Outlines the impact and consequences of the digital Reveals journalism as it is, but also as it should be Takes each chapter further with guided reading list and free online journal articles. This textbook is the perfect answer to the how and why of journalism. It is crucial reading for any student of media studies, communication studies and journalism.
This straightforward text provides journalists, both professional and student, with an explanation of the realities of an increasingly important facet of today's precision journalism--public opinion polling. The work aims to provide the skills necessary for evaluating and interpreting survey results accurately. After a brief review of the historical relationship between the press and public opinion, the authors examine the polling environment today. Then, step-by-step, they take the reader through the basics of journalistic uses of public opinion surveys and the questions to be asked by the journalist in evaluating a survey: who did the poll; who sponsored the poll; what were the survey questions and how were they worded; what is the sampling error; how to report poll results; how to put survey figures in context; and how to make and evaluate projections based upon polls. In addition, the text offers a review of statistical methods for the journalist and a 20 question checklist.