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This book is a theoretical work on data journalism production that drills down the models, narratives, and ethics.From idea to concept and then to a widespread innovative trend, data journalism has become a new global paradigm, facilitating the transformation to focus on data, convergence, and intelligence. Drawing on various theoretical resources of communication, narratology, ethics, management, literature and art, game studies, and data science, this book explores the cutting-edge issues in current data journalism production. It critically analyzes crucial topics, including the boundary generalization of data journalism, data science methodology, the illusion of choice in interactive narratives, the word-image relationship in data visualization, and pragmatic objectivity and transparency in production ethics.Provided with a toolbox of classic examples of global data journalism, this book will be of great value to scholars and students of data journalism or new media, data journalists, and journalism professionals interested in the areas.

Focusing on the'how'and'why'of digital reporting, this interactive textbook equips readers with all the skills they need to succeed in today's multimedia reporting landscape.The Journalist's Toolbox is an extension of the JournalistsToolbox.ai website, which provides links to tools, organized by beats and topics, as well as social channels, a newsletter, and more than 95 training videos relevant to journalists. This handbook offers a deep dive into these digital resources, explaining how they can be manipulated to build multimedia stories online and in broadcast. It covers all the basics of data journalism, fact-checking, using social media, editing and ethics, as well as video, photo, and audio production and storytelling. The book considers digital journalism from a global perspective, including examples and interviews with journalists from around the world.Packed full of hands-on exercises and insider tips, The Journalist's Toolbox is an essential companion for students of online/digital journalism, multimedia storytelling and advanced reporting. This book will also make an ideal reference for practicing journalists looking to hone their craft.This book is supported by training videos, interactive charts and a pop-up glossary of key terms which are available as part of an interactive e-book+ or online for those using the print book.

Data-science investigations have brought journalism into the 21st century, and—guided by The Intercept's infosec expert Micah Lee— this book is your blueprint for uncovering hidden secrets in hacked datasets.Unlock the internet's treasure trove of public interest data with Hacks, Leaks, and Revelations by Micah Lee, an investigative reporter and security engineer. This hands-on guide blends real-world techniques for researching large datasets with lessons on coding, data authentication, and digital security. All of this is spiced up with gripping stories from the front lines of investigative journalism.Dive into exposed datasets from a wide array of sources: the FBI, the DHS, police intelligence agencies, extremist groups like the Oath Keepers, and even a Russian ransomware gang. Lee's own in-depth case studies on disinformation-peddling pandemic profiteers and neo-Nazi chatrooms serve as blueprints for your research.Gain practical skills in searching massive troves of data for keywords like “antifa” and pinpointing documents with newsworthy revelations. Get a crash course in Python to automate the analysis of millions of files.You will also learn how to:Master encrypted messaging to safely communicate with whistleblowers.Secure datasets over encrypted channels using Signal, Tor Browser, OnionShare, and SecureDrop.Harvest data from the BlueLeaks collection of internal memos, financial records, and more from over 200 state, local, and federal agencies.Probe leaked email archives about offshore detention centers and the Heritage Foundation.Analyze metadata from videos of the January 6 attack on the US Capitol, sourced from the Parler social network.We live in an age where hacking and whistleblowing can unearth secrets that alter history. Hacks, Leaks, and Revelations is your toolkit for uncovering new stories and hidden truths. Crack open your laptop, plug in a hard drive, and get ready to change history.

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.

Algorithmic Audience in the Age of Artificial Intelligence employs a mix-methods approach to examine and interpret the algorithmic news consumption phenomenon from several inter-related perspectives, including tailored communication, customization, gatekeeping, agenda-resisting, algorithmic literacy, and news literacy. Potential implications for an empowered or rather (information-) cocooned public are explored. The research aims to illuminate the renewed relationship between media and audience and the effects on users of algorithmic processes. The aim of the book is multifaceted: (1) to describe the phenomenon of AI-based news recommendation; (2) to explore the user experience of consuming recommended news; (3) to analyze the effects that algorithmic news consumption has on the audiences; (4) to raise awareness of the impact of algorithmic news consumption; (5) to inform the public, technocrats, and policy makers of the effects of algorithmic news consumption; and (6) to guide debate on ethical decision-making and possible policy change. Through an empirical investigation process, this volume examines algorithmic news consumption from a user perspective and dissects the complex effects caused by such consumption. This book is suitable to be a primary text for undergraduate-level courses relating to media literacy issues and graduate-level courses with a particular focus on audience analysis in the age of artificial intelligence. It can also serve as a supplemental text for core courses in media/communication studies, such as Introduction to Communication, Current Issues in Communication, Communication Theory, and Communication Ethics.'This comprehensive work uses original research to both focus and expand our understanding about the ways that the growing consumption of algorithmic news will impact both the news media business and participatory democracy. It provides sharp new insights at a critical moment in the evolution of journalism.'—Ryan Thornburg, Associate Professor of Journalism, School of Journalism and Media, University of North Carolina at Chapel Hill'Roselyn Du's book is a roadmap to understanding how the audience of today's news are grappling with tailored communication, information cocoons, algorithmic literacy, and news literacy. This book is timely, insightful, and methodologically rigorous. This is a must read for students and scholars interested in algorithms and journalism.'—Kerk F Kee, Associate Professor of Media & Communication, Texas Tech University'Guided by key theoretical considerations, this timely text details comprehensive empirical investigation of the effects of algorithmic news recommendations on news appreciation, news literacy, and public agenda priorities. Findings suggest that algorithmic news consumption may not be as dangerous as presumed and warned. A significant contribution of this work is support for the theoretical development of a renewed conception of the active audience and the redefinition of agenda-setting. A compelling case is made for the importance of research on algorithms and artificial intelligence for understanding the future of journalism and civic society.'—Cynthia King, Professor of Communication, California State University, Fullerton

Considering the interactions between developments in open data and data journalism, Data for Journalism: Between Transparency and Accountability offers an interdisciplinary account of this complex and uncertain relationship in a context of tightening the control over data and weighing transparency against privacy.As data has brought both promise and disruptive changes to societies, the relationship between transparency and accountability has become complicated, and data journalism is practised alongside the contradictory needs of opening up and protecting data. In addition to exploring the benefits of data for journalism, this book addresses the uncertain nature of data and the obstacles preventing data from being fluently accessed and properly used for data reporting. Because of these obstacles, it argues individual data journalists play a decisive role in using data for journalism and facilitating the circulation of data. Frictions in data access, newsrooms'resources and cultures and data journalists'skill and data literacy levels determine the degree to which journalism can benefit from data, and these factors potentially exacerbate digital inequalities between newsrooms in different countries and with different resources. As such, the author takes an international perspective, drawing on empirical research and cases from around the world, including countries such as the UK, the US, Germany, Sweden, Australia, India, China and Japan.Introducing a new dimension to the study of developments in journalism and the role of journalism in society, Data for Journalism will be of interest to academics and researchers in the fields of journalism and the sociology of (big and open) data.

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 content of news has not changed much over the last century--politicians, celebrities, wars, crime, and sports dominate past and present headlines. Yet, the ways in which journalists both gather and disseminate information have been turned on their head. Gone are the days of editors assigning stories to writers, who then research, inquire, and present what they found in a compelling yet accurate fashion. Today's journalists are coding, programming, running analytics, and developing apps. These'news nerds'are industry professionals working in jobs at the intersection of traditional journalism and technologically intensive positions that were once largely separate. Consequently, news nerds have changed the institutionalized view of journalism, which now accounts for these professionals. News Nerds explores how technological, economic, and societal changes are impacting the institutionalized profession of journalism. Allie Kosterich draws on a mixed-methods research design that blends interviews, social network analysis of LinkedIn data, job postings, and industry publications to make sense of how skills and practices become entrenched throughout the news industry. Taken together, these data reveal the ways in which the profession is evolving to incorporate new technological skillsets and new routines of production. In telling these stories and sharing these findings, Kosterich directly confronts what happens when new skillsets and new ways of understanding and producing news start to collide with the old routines of journalism. News Nerds introduces the notion of institutional augmentation--a process of institutional change that is not restricted to the expected binary outcome of the reinstitutionalization of something new or failure as a fleeting fad. Instead, as in the case of news nerds and journalism, there exists an alternative possibility in the coexistence of supplementary institutions. News Nerds provides a timely and relevant analysis of contemporary journalism and a model for understanding how industries react to the emergence of new career trajectories and new categories of employment.

Faced with a full-blown crisis, a growing number of journalists are engaging in seemingly unjournalistic practices such as creating and maintaining databases, handling algorithms, or designing online applications. “Data journalists” claim that these approaches help the profession demonstrate greater objectivity and fulfill its democratic mission. In their view, computational methods enable journalists to better inform their readers, more closely monitor those in power, and offer deeper analysis. In Computing the News, Sylvain Parasie examines how data journalists and news organizations have navigated the tensions between traditional journalistic values and new technologies. He traces the history of journalistic hopes for computing technology and contextualizes the surge of data journalism in the twenty-first century. By importing computational techniques and ways of knowing new to journalism, news organizations have come to depend on a broader array of human and nonhuman actors. Parasie draws on extensive fieldwork in the United States and France, including interviews with journalists and data scientists as well as a behind-the-scenes look at several acclaimed projects in both countries. Ultimately, he argues, fulfilling the promise of data journalism requires the renewal of journalistic standards and ethics. Offering an in-depth analysis of how computing has become part of the daily practices of journalists, this book proposes ways for journalism to evolve in order to serve democratic societies.

This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools.The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news.The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests in devising and applying data science technologies for fake news detection. For young researchers such as PhD students, a review of data science work on fake news is provided, equipping them with enough know-how to start engaging in research within the area. For experienced researchers, the detailed descriptions of approaches will enable them to take seasoned choices in identifying promising directions for future research.

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'.

Teaches the basic, yet all-important, data skills required by today's media professionals The authors of Data Skills for Media Professionals have assembled a book that teaches key aspects of data analysis, interactive data visualization and online map-making through an introduction to Google Drive, Google Sheets, and Google My Maps, all free, highly intuitive, platform-agnostic tools available to any reader with a computer and a web connection. Delegating the math and design work to these apps leaves readers free to do the kinds of thinking that media professionals do most often: considering what questions to ask, how to ask them, and how to evaluate and communicate the answers. Although focused on Google apps, the book draws upon complementary aspects of the free QGIS geographic information system, the free XLMiner Analysis ToolPak Add-on for Google Sheets, and the ubiquitous Microsoft Excel spreadsheet application. Worked examples rely on frequently updated data from the U.S. Bureau of Labor Statistics, the Federal Election Commission, the National Bridge Inventory of structurally deficient bridges, and other federal sources, giving readers the option of immediately applying what they learn to current data they can localize to any area in the United States. The book offers chapters covering: basic data analysis; data visualization; making online maps; Microsoft Excel and pivot tables; matching records with Excel's VLOOKUP function; basic descriptive and inferential statistics; and other functions, tools and techniques. Serves as an excellent supplemental text for easily adding data skills instruction to courses in beginning or advanced writing and reporting Features computer screen captures that illustrate each step of each procedure Offers downloadable datasets from a companion web page to help students implement the techniques themselves Shows realistic examples that illustrate how to perform each technique and how to use it on the job Data Skills of Media Professionals is an excellent book for students taking skills courses in the more than 100 ACEJMC-accredited journalism and mass communication programs across the United States. It would also greatly benefit those enrolled in advanced or specialized reporting courses, including courses dedicated solely to teaching data skills.

An exploration of infographics and data visualization as a cultural phenomenon, from eighteenth-century print culture to today's data journalism.Infographics and data visualization are ubiquitous in our everyday media diet, particularly in news—in print newspapers, on television news, and online. It has been argued that infographics are changing what it means to be literate in the twenty-first century—and even that they harmonize uniquely with human cognition. In this first serious exploration of the subject, Murray Dick traces the cultural evolution of the infographic, examining its use in news—and resistance to its use—from eighteenth-century print culture to today's data journalism. He identifies six historical phases of infographics in popular culture: the proto-infographic, the classical, the improving, the commercial, the ideological, and the professional.Dick describes the emergence of infographic forms within a wider history of journalism, culture, and communications, focusing his analysis on the UK. He considers their use in the partisan British journalism of late eighteenth and early nineteenth-century print media; their later deployment as a vehicle for reform and improvement; their mass-market debut in the twentieth century as a means of explanation (and sometimes propaganda); and their use for both ideological and professional purposes in the post–World War II marketized newspaper culture. Finally, he proposes best practices for news infographics and defends infographics and data visualization against a range of criticism. Dick offers not only a history of how the public has experienced and understood the infographic, but also an account of what data visualization can tell us about the past.

A Short History of Disruptive Journalism Technologies provides a swift analysis of the computerization of the newsroom, from the mid-1960s through to the early 1990s. It focuses on how word processing and a number of related affordances, including mobile-reporting tools, impacted the daily work routines of American news workers. The narrative opens with the development of mainframes and their attendant use as databases in large, daily newspapers, It moves on to the'minicomputer'era and explores initial news-worker experiences with computers for editing and publication. Following this, the book examines the microprocessor era, and the rise of'smart'terminals,'microcomputers,'and off-the-shelf hardware/software, along with the increasing use of computers in smaller news organizations. Mari then turns to the use of pre-internet networks, wire-services and bulletin boards deployed for user interaction. He looks at the integration of decentralized computer networks in newsrooms, with a mix of content-management systems and PCs, and the increasing use of pagers and cellphones for news-gathering, including the shift from'portable'to mobile conceptualizations for these technologies.A Short History of Disruptive Journalism Technologies is an illuminating survey for students and instructors of journalism studies. It represents an important acknowledgement of the impact of pre-internet technological disruptions which led to the even more disruptive internet- and related computing technologies in the latter 1990s and through the present.

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.

Data Journalism and the Regeneration of News traces the emergence of data journalism through a scholarly lens. It reveals the growth of data journalism as a subspecialty, cultivated and sustained by an increasing number of professional identities, tools and technologies, educational opportunities and new forms of collaboration and computational thinking. The authors base their analysis on five years of in-depth field research, largely in Canada, an example of a mature media system. The book identifies how data journalism's development is partly due to it being at the center of multiple crises and shocks to journalism, including digitalization, acute mis- and dis-information concerns and increasingly participatory audiences. It highlights how data journalists, particularly in well-resourced newsrooms, are able to address issues of trust and credibility to advance their professional interests. These journalists are operating as institutional entrepreneurs in a field still responding to the disruption effects of digitalization more than 20 years ago.By exploring the ways in which data journalists are strategically working to modernize the way journalists talk about methods and maintain journalism authority, Data Journalism and the Regeneration of News introduces an important new dimension to the study of digital journalism for researchers, students and educators.

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.

From the quality of the air we breathe to the national leaders we choose, data and statistics are a pervasive feature of daily life and daily news. But how do news, numbers and public opinion interact with each other – and with what impacts on society at large? Featuring an international roster of established and emerging scholars, this book is the first comprehensive collection of research into the little understood processes underpinning the uses/misuses of statistical information in journalism and their socio-psychological and political effects. Moving beyond the hype around “data journalism,'News, Numbers and Public Opinion delves into a range of more latent, fundamental questions such as: · Is it true that most citizens and journalists do not have the necessary skills and resources to critically process and assess numbers? · How do/should journalists make sense of the increasingly data-driven world? · What strategies, formats and frames do journalists use to gather and represent different types of statistical data in their stories? · What are the socio-psychological and political effects of such data gathering and representation routines, formats and frames on the way people acquire knowledge and form attitudes? · What skills and resources do journalists and publics need to deal effectively with the influx of numbers into in daily work and life – and how can newsrooms and journalism schools meet that need? The book is a must-read for not only journalists, journalism and media scholars, statisticians and data scientists but also anybody interested in the interplay between journalism, statistics and society.

Journalism Design is about the future of journalism. As technologies increasingly, and continually, reshape the way we interact with information, with each other and with our environment, journalists need new ways to tell stories. Journalists often see technology as something that improves what they are doing or that makes it more convenient. However, the growing might of technology companies has put journalism and news organisations in a difficult position: readers and revenues have moved, and platforms exert increasing control over story design. Skye Doherty argues that, rather than adapting journalism to new technologies, journalists should be creating the technologies themselves and those technologies should be designed for core values such as the public interest. Drawing from theories and practices of interaction design, this book demonstrates how journalists can use their expertise to imagine new ways of doing journalism. The design and development of the NewsCube, a three-dimensional storytelling tool, is detailed, as well as how interaction design can be used to imagine new forms of journalism. The book concludes by calling for closer ties between researchers and working journalists and suggests that journalism has a hybrid future – in newsrooms, communities, design studios and tech companies.

Der Band bietet eine fundierte Untersuchung neuer Darstellungsformen zur Hintergrundinformation im stationären und mobilen Internet. Dabei werden sowohl die Nutzererwartungen, die Rezeptionsvorgänge, die Produktionsbedingungen als auch die Angebote im Journalismus und Corporate Publishing analysiert. Der Fokus liegt dabei auf Formen des digitalen Storytelling, nichtlinearen Erzählstrukturen sowie publizistischen und ökonomischen Chancen.

Ein großer Teil der öffentlich verfügbaren Kommunikation stammt mittlerweile nicht mehr von professionellen Kommunikatoren aus Journalismus und Öffentlichkeitsarbeit, sondern von Laien, die über Weblogs, Soziale Netzwerke, Microblogging-Dienste wie »Twitter« u. a. eine Fülle an Inhalten verbreiten. Braucht es vor diesem Hintergrund den professionellen Journalismus überhaupt noch? Oder leistet »user generated content« dasselbe? Um dies zu beantworten, klärt die Arbeit zunächst grundlegend, welche Leistungen Journalismus erbringt und anhand welcher Merkmale er sich – auch im Internet – identifizieren lässt. Aus verschiedenen Theoriesträngen wird eine Reihe von Konstitutionsmerkmalen hergeleitet, worüber sich Journalismus abgrenzen lässt. Dessen Primärfunktion wird in der Vermittlung ausgemacht, die sich als überdauerndes Funktionsprinzip seit der Entstehung der ersten Zeitungen beobachten lässt. Im empirischen Teil nimmt die Arbeit mit »Wikinews« eine kollaborative Nachrichtenplattform von Laien in den Blick, die aufgrund ihres Leitbilds und ihrer Nutzungsregeln einen journalistischen Anspruch erhebt. Wie Inhaltsanalysen zeigen, erbringt »Wikinews« jedoch größtenteils nicht die Leistungen wie die Vergleichsberichterstattung professioneller Tageszeitungen. Die theoretischen Erkenntnisse und die empirischen Befunde der Arbeit deuten darauf hin, dass der in Massenmedien institutionalisierte, professionelle Journalismus auch im Internetzeitalter unverzichtbar bleibt.

Fake News, Halbwahrheiten, Konspirationstheorien – die Ausbreitung von Desinformation in der digitalisierten Welt, insbesondere in sozialen Netzwerken wie Facebook und Twitter, wird immer mehr zur Bedrohung und zur Herausforderung für unsere Demokratie. Das Buch analysiert, welche Trends die Aufmerksamkeitsökonomie in eine Desinformationsökonomie verwandeln. Stichworte sind der langfristige Glaubwürdigkeitsverlust der traditionellen Medien, das rapide Wachstum und die Professionalisierung der Public Relations, die ungeplanten Folgen der rasanten Digitalisierung, darunter das Fehlen eines Geschäftsmodells für den Journalismus, Echokammern im Netz sowie die Algorithmen als neue Schleusenwärter in der öffentlichen Kommunikation. Eine strategische Rolle spielen die allmächtigen IT-Giganten, die sich nicht in ihre Karten gucken lassen möchten. Unter diesen Bedingungen gibt es vermehrt Akteure, die aus machtpolitischen Motiven an medialer Desinformation und an der Destabilisierung unserer Demokratie interessiert sind, oder die aus kommerziellen Motiven eine solche Destabilisierung in Kauf nehmen. Der Tradition der Aufklärung verpflichtet, ist die zentrale Frage des Buches, wie sich der wachsende Einfluss der'Feinde der informierten Gesellschaft'eindämmen lässt, darunter Populisten, Autokraten und deren Propagandatrupps. Könnte zum Beispiel eine'Allianz für die Aufklärung'etwas bewirken, der sich seriöse Journalisten und Wissenschaftler gemeinsam anschliessen? Dazu bedarf es nicht zuletzt realistischer Selbsteinschätzung auf seiten der Akteure. Dazu verhelfen Erkenntnisse aus der Sozialpsychologie und der Verhaltensökonomie, die im Buch auf die Handelnden und den Prozess der öffentlichen Kommunikation bezogen werden.

Filled with abundant exercises, The Complete Editor provides readers with many resources actively learn about copyediting, headline writing, decision-making, relationships with writers, graphic presentations, photo editing and layout and design. It also contains a separate chapter on legal principles that an editor needs to understand. This efficient and well-written text gives readers basic information about the essential topics at hand.

Datenjournalismus ist eine Reaktion auf die anhaltende Digitalisierung. Er ist eng mit Software und Algorithmen verknüpft, nährt sich vom gleichen Treibstoff wie die Rechner und das Internet: Daten. Welche Methode wäre also besser dafür geeignet, eine digitale Welt zu begleiten und zu beschreiben? Der Datenjournalist Lorenz Matzat gibt einen Einblick in das recht junge Genre Datenjournalismus und richtet sich damit an Einsteiger in das Thema: Was gehört zum sogenannten data-driven-journalism und wie lässt er sich umsetzen? Im ersten Kapitel geht es um den Rohstoff des Ganzen: Daten und deren Formate – wie im Zusammenspiel mit Software interaktiver Journalismus gemacht kann. Der zweite Abschnitt dreht sich um das methodische Vorgehen: Dem Beschaffen und Säubern von Daten, der Analyse der Daten und der Berichterstattung mit ihnen. Der dritte und letzte Abschnitt handelt von dem Produkt, dem journalistischen Werk: Es ist dabei nicht nur die Rede vom prägnanten Journalismus, sondern auch von Servertechnologie, Nutzerfreundlichkeit, Testen und nicht zuletzt von Datenvisualisierungen. Dieses Buch verspricht weder, aus dem Leser in Nullkommanichts einen Könner im Datenjournalismus zu machen. Auch fordert es nicht, dass jeder Journalist Programmierer werden sollte. Vielmehr zeigt Lorenz Matzat, dass Datenjournalismus viel Arbeit, Geduld und Teamarbeit verlangt. Aber auch, dass diese Arbeit entsprechend belohnt wird: und zwar mit der Möglichkeit, aussagekräftig und vielfältig das digitale Medium Internet bespielen zu können.

Provides the practical techniques and theoretical knowledge that underpin the fundamental skills of a journalist. It also takes a highly modern approach, as the convergence of broadcast, print and online media require the learning of new skills and methods. The book is written from an international perspective - with examples from around the world in recognition of the global marketplace for today's media. This is an essential text for students on journalism courses and professionals looking for a reference that covers the skill, technology and knowledge required for a digital and converged media age. The book's essence lies in the way essential theories such as ethics and law, are woven into practical newsgathering and reporting techniques, as well as advice on management skills for journalists, providing the wide intellectual foundation which gives credibility to reporting.

‘Data is the new oil'. So lautet der Titel eines Blog-Eintrags des Werbefachmanns Michael Palmer, den er im November 2006 geschrieben hat. Im Bild dieser Metapher behauptet Palmer, dass unbearbeitete Daten wertlos seien. Erst nachdem man sie bearbeitet habe, entstünden aus ihnen nützliche Produkte, so wie aus Öl Benzin oder Kunststoff hergestellt wird. Auch im Journalismus setzt man vermehrt auf Daten in der Berichterstattung. Besonders im Onlinemedium sieht man immer häufiger interaktive Visualisierungen, die auf riesigen Datenbergen basieren und die eine Geschichte besser erzählen können als es ein Text je könnte. Dank des wachsenden Aufkommens an Daten dürfte das allerdings erst der Anfang sein. Daten rücken zunehmend in den Fokus und werden ein zentraler Gegenstand der journalistischen Geschichte. Die vorliegende Studie beschäftigt sich mit dieser Thematik.

Die Untersuchung beschäftigt sich mit dem Umbruch von Kommunikationsarbeit im Umfeld von Online-Medien. Der explorativen Studie liegt ein theoretisches Konzept zugrunde, in dem berufssoziologische Begriffe institutionentheoretisch reformuliert und Beruflichkeit als institutionelle Struktur im sozialen Wandel aufgefasst werden. In den Blick geraten damit die Sinnhorizonte und Geltungskontexte neuer Tätigkeitsfelder, die sich zu verstetigten Handlungsmustern im Mediensystem verdichten. Zu den Ergebnissen zählt eine Typologie von Tätigkeitsfeldern, die neben'Redaktioneller Publizistik'und Public Relations-Tätigkeiten unter anderem auch marketingorientierte Bereiche umfasst. Deutlich wird ein Spannungsverhältnis zwischen der Entwicklung neuer Strukturen in Tätigkeits- und Qualifikationsprofilen einerseits und einem normativ gefestigten Sinngefüge, das sich auf den journalistischen Beruf gründet, andererseits.

News journalism is in the midst of radical transformation brought about by the spread of digital information and communication technology and the rise of neoliberalism. What does it look like, however, from the inside of a news organization? In The Life Informatic, Dominic Boyer offers the first anthropological ethnography of contemporary office-based news journalism. The result is a fascinating account of journalists struggling to maintain their expertise and authority, even as they find their principles and skills profoundly challenged by ever more complex and fast-moving streams of information. Boyer conducted his fieldwork inside three news organizations in Germany (a world leader in digital journalism) supplemented by extensive interviews in the United States. His findings challenge popular and scholarly images of journalists as roving truth-seekers, showing instead the extent to which sedentary office-based'screenwork'(such as gathering and processing information online) has come to dominate news journalism. To explain this phenomenon Boyer puts forth the notion of'digital liberalism'—a powerful convergence of technological and ideological forces over the past two decades that has rebalanced electronic mediation from the radial (or broadcast) tendencies of the mid-twentieth century to the lateral (or peer-to-peer) tendencies that dominate in the era of the Internet and social media. Under digital liberalism an entire regime of media, knowledge, and authority has become integrated around liberal principles of individuality and publicity, both unmaking and remaking news institutions of the broadcast era. Finally, Boyer offers some scenarios for how news journalism will develop in the future and discusses how other intellectual professionals, such as ethnographers, have also become more screenworkers than fieldworkers.

Au travers d'expériences récentes au sein de rédactions du monde entier, des USA à l'Argentine en passant par la France ou l'Allemagne, cet ouvrage dresse un panorama des pratiques du datajournalisme aujourd'hui et donne des repères pour ceux qui veulent se lancer dans cette nouvelle branche du journalisme, à la croisée de l'investigation, du développement et du graphisme. Destinée aux étudiants en journalisme et aux professionnels en activité qui souhaitent se former à cette nouvelle discipline, cette version française du Data Journalism Handbook s'enrichit d'exemples issus de médias français ou francophones (Le Monde, Rue89, OWNI, France Info, L'Avenir...). Ouvrage réalisé à l'initiative de l'European Journalism Centre (www.ejc.net/) et de l'Open Knowledge Foundation (http://okfn.org/), publié sous la direction de Jonathan Gray, Liliana Bounegru et Lucy Chambers pour la version originale et de Nicolas Kayser-Bril pour la version française.

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 organizationsExplore in-depth case studies on elections, riots, school performance, and corruptionLearn 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 visualizationDeliver data through infographics, news apps, open data platforms, and download links

Ubiquitous news, global information access, instantaneous reporting, interactivity, multimedia content, extreme customization: Journalism is undergoing the most fundamental transformation since the rise of the penny press in the nineteenth century. Here is a report from the front lines on the impact and implications for journalists and the public alike. John Pavlik, executive director of the Center for New Media at Columbia University's Graduate School of Journalism, argues that the new media can revitalize news gathering and reengage an increasingly distrustful and alienated citizenry. The book is a valuable reference on everything from organizing a new age newsroom to job hunting in the new media.