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Tom Johnson

Data journalism at the Guardian: what is it and how do we do it? | News | guardian.co.uk - 0 views

  • Data journalism at the Guardian: what is it and how do we do it? Simon Rogers: Our 10 point guide to data journalism and how it's changing Share  reddit this omnitracker.omniTrackEVarEvent( 12, 16, 'News: Reddit', 'click', '.reddit a' ); Comments (2) Data journalism. What is it and how is it changing? Photograph: Alamy Here's an interesting thing: data journalism is becoming part of the establishment. Not in an Oxbridge elite kind of way (although here's some data on that) but in the way it is becoming the industry standard.Two years ago, when we launched the Datablog, all this was new. People still asked if getting stories from data was really journalism and not everyone had seen Adrian Holovaty's riposte. But once you've had MPs expenses and Wikileaks, the startling thing is that no-one asks those questions anymore. Instead, they want to know, "how do we do it?"
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    Data journalism at the Guardian: what is it and how do we do it? Simon Rogers: Our 10 point guide to data journalism and how it's changing Share reddit this Comments (2) Data abstract Data journalism. What is it and how is it changing? Photograph: Alamy Here's an interesting thing: data journalism is becoming part of the establishment. Not in an Oxbridge elite kind of way (although here's some data on that) but in the way it is becoming the industry standard. Two years ago, when we launched the Datablog, all this was new. People still asked if getting stories from data was really journalism and not everyone had seen Adrian Holovaty's riposte. But once you've had MPs expenses and Wikileaks, the startling thing is that no-one asks those questions anymore. Instead, they want to know, "how do we do it?"
Tom Johnson

Data-Driven Journalism Workshop on EU Spending: Tools & Techniques. Utrecht, 8th-9th Se... - 0 views

  • Data-Driven Journalism Workshop on EU Spending: Tools & Techniques. Utrecht, 8th-9th September. Posted on August 9, 2011 by Lucy Chambers The following post is by Liliana Bonegru, Project Coordinator at the European Journalism Centre (EJC), and Lucy Chambers, Community Coordinator at the Open Knowledge Foundation. The post announces a joint workshop between the EJC and OKF, focusing on how to get started with data-driven reporting on spending data. This workshop will focus particularly on EU spending data. Interested in data-driven journalism and EU spending? The European Journalism Centre together with the Open Knowledge Foundation is hosting a one and a half day data-driven journalism workshop on EU spending in Utrecht, the Netherlands on 8th-9th September.
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    Data-Driven Journalism Workshop on EU Spending: Tools & Techniques. Utrecht, 8th-9th September. Posted on August 9, 2011 by Lucy Chambers The following post is by Liliana Bonegru, Project Coordinator at the European Journalism Centre (EJC), and Lucy Chambers, Community Coordinator at the Open Knowledge Foundation. The post announces a joint workshop between the EJC and OKF, focusing on how to get started with data-driven reporting on spending data. This workshop will focus particularly on EU spending data. Interested in data-driven journalism and EU spending? The European Journalism Centre together with the Open Knowledge Foundation is hosting a one and a half day data-driven journalism workshop on EU spending in Utrecht, the Netherlands on 8th-9th September.
Tom Johnson

BBC | BBC College of Journalism Blog - #bbcsms: BBC processes for verifying social medi... - 0 views

  • << previous blog | recent blogs | next blog >> #bbcsms: BBC processes for verifying social media content Alex Murray | Wednesday 18 May 2011, 10:40 From Tunisia, via Egypt, to Libya and Syria, verifying and acquiring eyewitness/citizen journalist/user-generated content has become increasingly complicated as the material has become more sophisticated. At the UGC (user-generated content) Hub in the BBC Newsroom in London, our process has become much more forensic in nature and includes: - Referencing locations against maps and existing images from, in particular, geo-located ones. - Working with our colleagues in BBC Arabic and BBC Monitoring to ascertain that accents and language are correct for the location. - Searching for the original source of the upload/sequences as an indicator of date. - Examining weather reports and shadows to confirm that the conditions shown fit with the claimed date and time. - Maintaining lists of previously verified material to act as reference for colleagues covering the stories. - Checking weaponry, vehicles and licence plates against those known for the given country. That's not an exhaustive list, but those are some of the most common things we do in BBC News.
Tom Johnson

Shorenstein Center paper argues for collaboration in investigative reporting | Harvard ... - 0 views

  • Shorenstein Center paper argues for collaboration in investigative reporting Thursday, June 2, 2011 Sandy Rowe, former editor of The Oregonian, and Knight Fellow at the Shorenstein Center fall 2010 and spring 2011. Photograph by Martha Stewart Shorenstein Center, Harvard Kennedy School Contact: Janell Simsjanell_sims@harvard.eduhttp://www.hks.harvard.edu/presspol/index.html Media organizations may be able to perform their watchdog roles more effectively working together than apart. That is one conclusion in a new paper, “Partners of Necessity: The Case for Collaboration in Local Investigative Reporting,” authored by Sandy Rowe, former editor of Portland’s The Oregonian. The paper is based on interviews and research that Rowe conducted while serving as a Knight Fellow at the Shorenstein Center on the Press, Politics and Public Policy at Harvard Kennedy School. Rowe’s research examines the theory underpinning collaborative work and shows emerging models of collaboration that can lead to more robust investigative and accountability reporting in local and regional markets. “Growing evidence suggests that collaborations and partnerships between new and established news organizations, universities and foundations may be the overlooked key for investigative journalism to thrive at the local and state levels,” Rowe writes. “These partnerships, variously and often loosely organized, can share responsibility for content creation, generate wider distribution of stories and spread the substantial cost of accountability journalism.” Rowe was editor of The Oregonian from 1993 until January 2010. Under her leadership, the newspaper won five Pulitzer Prizes including the Gold Medal for Public Service. Rowe chairs the Board of Visitors of The Knight Fellowships at Stanford University and is a board member of the Committee to Protect Journalists. From 1984 until April 1993, Rowe was executive editor and vice president of The Virginian-Pilot and The Ledger-Star, Norfolk and Virginia Beach, Virginia. The Virginian-Pilot won the Pulitzer Prize for general news reporting under her leadership. Rowe’s year-long fellowship at the Shorenstein Center was funded by the John S. and James L. Knight Foundation. Read the full paper on the Shorenstein Center’s website.
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    Shorenstein Center paper argues for collaboration in investigative reporting Thursday, June 2, 2011 Sandy Rowe, former editor of The Oregonian, and Knight Fellow at the Shorenstein Center fall 2010 and spring 2011. Photograph by Martha Stewart Shorenstein Center, Harvard Kennedy School Contact: Janell Sims janell_sims@harvard.edu http://www.hks.harvard.edu/presspol/index.html Media organizations may be able to perform their watchdog roles more effectively working together than apart. That is one conclusion in a new paper, "Partners of Necessity: The Case for Collaboration in Local Investigative Reporting," authored by Sandy Rowe, former editor of Portland's The Oregonian. The paper is based on interviews and research that Rowe conducted while serving as a Knight Fellow at the Shorenstein Center on the Press, Politics and Public Policy at Harvard Kennedy School. Rowe's research examines the theory underpinning collaborative work and shows emerging models of collaboration that can lead to more robust investigative and accountability reporting in local and regional markets. "Growing evidence suggests that collaborations and partnerships between new and established news organizations, universities and foundations may be the overlooked key for investigative journalism to thrive at the local and state levels," Rowe writes. "These partnerships, variously and often loosely organized, can share responsibility for content creation, generate wider distribution of stories and spread the substantial cost of accountability journalism." Rowe was editor of The Oregonian from 1993 until January 2010. Under her leadership, the newspaper won five Pulitzer Prizes including the Gold Medal for Public Service. Rowe chairs the Board of Visitors of The Knight Fellowships at Stanford University and is a board member of the Committee to Protect Journalists. From 1984 until April 1993, Rowe was executive editor and vice president of The Virginian-Pi
Tom Johnson

Data-driven journalism: What is there to learn? - 0 views

  • Data-drivenjournalism:Whatistheretolearn?Apaperonthedata-drivenjournalismroundtableheldinAmsterdamon24August2010.Withadditionalmateri class=
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    Data-drivenjournalism:Whatistheretolearn?Apaperonthedata-drivenjournalismroundtableheldinAmsterdamon24August2010.Withadditionalmaterialondatatools,DDJinnovators,andrecommendedwebsitesandarticles.Theimmediategoalsaretoimproveaccessforinterestedjournalistsandtoidentifytrainingneedsforthefuture
Tom Johnson

Data VisualizationTutorials | Knight Digital Media Center - 0 views

  • kdmc data visualization tutorials KDMC produces a wealth of digital media tutorials to support our training sessions and classes. While the focus of some tutorials is on technology and journalism, most are general enough to be of use to anyone.
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    kdmc data visualization tutorials KDMC produces a wealth of digital media tutorials to support our training sessions and classes. While the focus of some tutorials is on technology and journalism, most are general enough to be of use to anyone.
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    A very good collection of dataviz tips and tools
Tom Johnson

Investigative Dashboard - Resources | Resources for investigators - 0 views

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    The Investigative Dashboard (ID) is a work in progress, that is designed to showcase the potential for collaboration and data-sharing between investigative reporters across the world. The initiative is spearheaded by the Organized Crime and Corruption Reporting Project, the Romanian Center for Investigative Journalism, the Forum for African Investigative Reporters and the International Center for Journalists, and will expand to include other institutional members of the Global Investigative Journalism Network. The project is coordinated by Paul Cristian Radu (of OCCRP and CRJI) and Justin Arenstein (of FAIR) and was developed while both were in residence at Stanford University as Knight fellows. The John S. Knight Fellowships for Professional Journalists made possible the ID by providing access to the know-how of co-fellow journalists and of experts at Stanford University and in Silicon Valley. This first iteration of the ID website shares detailed methodologies, resources, and links for journalists to track money, shareholders, and company ownership across international borders. It also shares video tutorials, and other tools, to help journalists navigate often rapidly evolving data-sources. Future versions of ID will offer more advanced collaborative workspaces, data-archives, and discounted (or, where possible, free) access to expensive or proprietary research services. But, perhaps most importantly, the ID will campaign for investigative centres across the world to collaborate with each other to improve the depth and impact of their reportage.
Tom Johnson

How to: verify content from social media | Online Journalism Features | Journalism.co.uk - 0 views

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    How to: verify content from social media Experts advise on the process of verification Posted: 3 April 2012 By: Rachel McAthy 0 Comments and 0 Reactions Facebook and Twitter for how to There are a wealth of questions, tools and techniques journalists can use to verify content from social media The mass of information now available and being shared online offers a fantastic arena for journalists to engage with online communities and pick up on breaking news at the same time. This means journalists are also having to sharpen their verification and fact-checking skills in a digital environment. This how-to features advice from a panel of experts on the key considerations, questions and tools journalists should have in mind when carrying out verification of content that surfaces via social media, be it a news tip, an image, a piece of audio or video. The process covers three main stages: monitoring of social networks and the online community before news breaks, checking the content when it comes into play and subsequently reporting that content once verified. The comprehensive advice outlined in this how-to guide offers practical steps, specific questions and cross-checks journalists can make at each stage, as well as online tools to support them.
Tom Johnson

Introduction to Infographics and Data Visualization: Knight Center's first Massive Open... - 0 views

  • ntroduction to Infographics and Data Visualization: Knight Center's first Massive Open Online Course Registration is now open for the Knight Center's first MOOC (Massive Open Online Course). The course will formally begin on Sunday, October 28, 2012 through Saturday, December 8, 2012. Below are course details and how to register. The introductory area of the course is now available to enrolled students. The introductory area includes access to the course syllabus and the introductory overview video for the course. Course Dates:  Sunday, October 28, 2012 - Saturday, December 8, 2012 Course Language:  English Instructor:  Alberto Cairo Course Objectives:  • How to analyze and critique infographics and visualizations in newspapers, books, TV, etc., and how to propose alternatives that would improve them. • How to plan for data-based storytelling through charts, maps, and diagrams. • How to design infographics and visualizations that are not just attractive but, above all, informative, deep, and accurate. • The rules of graphic design and of interaction design, applied to infographics and visualizations. • Optional: How to use Adobe Illustrator to create infographics.
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    ntroduction to Infographics and Data Visualization: Knight Center's first Massive Open Online Course "Bookmark Registration is now open for the Knight Center's first MOOC (Massive Open Online Course). The course will formally begin on Sunday, October 28, 2012 through Saturday, December 8, 2012. Below are course details and how to register. The introductory area of the course is now available to enrolled students. The introductory area includes access to the course syllabus and the introductory overview video for the course. Course Dates: Sunday, October 28, 2012 - Saturday, December 8, 2012 Course Language: English Instructor: Alberto Cairo Course Objectives: * How to analyze and critique infographics and visualizations in newspapers, books, TV, etc., and how to propose alternatives that would improve them. * How to plan for data-based storytelling through charts, maps, and diagrams. * How to design infographics and visualizations that are not just attractive but, above all, informative, deep, and accurate. * The rules of graphic design and of interaction design, applied to infographics and visualizations. * Optional: How to use Adobe Illustrator to create infographics.
Tom Johnson

The Overview Project » Document mining shows Paul Ryan relying on the the pro... - 0 views

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    Document mining shows Paul Ryan relying on the the programs he criticizes by Jonathan Stray on 11/02/2012 0 One of the jobs of a journalist is to check the record. When Congressman Paul Ryan became a vice-presidential candidate, Associated Press reporter Jack Gillum decided to examine the candidate through his own words. Hundreds of Freedom of Information requests and 9,000 pages later, Gillum wrote a story showing that Ryan has asked for money from many of the same Federal programs he has criticized as wasteful, including stimulus money and funding for alternative fuels. This would have been much more difficult without special software for journalism. In this case Gillum relied on two tools: DocumentCloud to upload, OCR, and search the documents, and Overview to automatically sort the documents into topics and visualize the contents. Both projects are previous Knight News Challenge winners. But first Gillum had to get the documents. As a member of Congress, Ryan isn't subject to the Freedom of Information Act. Instead, Gillum went to every federal agency - whose files are covered under FOIA - for copies of letters or emails that might identify Ryan's favored causes, names of any constituents who sought favors, and more. Bit by bit, the documents arrived - on paper. The stack grew over weeks, eventually piling up two feet high on Gillum's desk. Then he scanned the pages and loaded them into the AP's internal installation of DocumentCloud. The software converts the scanned pages to searchable text, but there were still 9000 pages of material. That's where Overview came in. Developed in house at the Associated Press, this open-source visualization tool processes the full text of each document and clusters similar documents together, producing a visualization that graphically shows the contents of the complete document set. "I used Overview to take these 9000 pages of documents, and knowing there was probably going to be a lot of garbage or ext
Tom Johnson

8 must-reads detail how to verify information in real-time, from social media, users | ... - 0 views

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    8 must-reads detail how to verify information in real-time, from social media, users Craig Silverman by Craig Silverman Published Apr. 27, 2012 7:46 am Updated Apr. 27, 2012 9:23 am Over the past couple of years, I've been trying to collect every good piece of writing and advice about verifying social media content and other types of information that flow across networks. This form of verification involves some new tools and techniques, and requires a basic understanding of the way networks operate and how people use them. It also requires many of the so-called old school values and techniques that have been around for a while: being skeptical, asking questions, tracking down high quality sources, exercising restraint, collaborating and communicating with team members. For example, lots of people talk about how Andy Carvin does crowdsourced verification and turns his Twitter feed into a real time newswire. Lost in the discussion is the fact that Carvin also develops sources and contacts on the ground and stays in touch with them on Skype and through other means. What you see on Twitter is only one part of the process. Some things never go out of style. At the same time, there are new tools, techniques and approaches every journalist should have in their arsenal. Fortunately, several leading practitioners of what I sometimes call the New Verification are gracious and generous about sharing what they know. One such generous lot are the folks at Storyful, a social media curation and verification operation that works with clients such as Reuters, ABC News, and The New York Times, among others. I wrote about them last year and examined how in some ways they act as an outsourced verification service for newsrooms. That was partly inspired by this post from Storyful founder Mark Little: I find it helps to think of curation as three central questions: * Discovery: How do we find valuable social media content? * Verification: How do we make sure we c
Tom Johnson

Interactive charts add heft to your data stories - Online News Association - 0 views

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    Interactive charts add heft to your data stories Posted Feb. 16 - 10 a.m. in MJ Bear Fellows, Resources by Lucas Timmons Filed under data Data journalism can be very compelling. Stitched with a good narrative, it can tell one amazing story. But we can do better than that. We can also visualize the data and provide a great package. With that in mind, here are three free options for creating animated and interactive charts.
Tom Johnson

Broadcasters don't want to put campaign ad data online, so ProPublica pitches... - 0 views

  • March 22, 2012, 10:18 a.m. .newfront-body #content_div-57696 p:first-child img {display: none;}.linkbody p:first-child img {display: none;} Broadcasters don’t want to put campaign ad data online, so ProPublica pitches work-around With volunteers around the country, the news nonprofit is continuing its efforts to figure out what works and what doesn’t when it comes to crowdsourced reporting.
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    Good piece on how to apply crowd-sourcing. March 22, 2012, 10:18 a.m. Television Broadcasters don't want to put campaign ad data online, so ProPublica pitches work-around With volunteers around the country, the news nonprofit is continuing its efforts to figure out what works and what doesn't when it comes to crowdsourced reporting.
Tom Johnson

Mining of Massive Datasets - 0 views

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    Mining of Massive Datasets The book has now been published by Cambridge University Press. A hardcopy can be obtained Here. By agreement with the publisher, you can still download it free from this page. Cambridge Press does, however, retain copyright on the work, and we expect that you will acknowledge our authorship if you republish parts or all of it. We are sorry to have to mention this point, but we have evidence that other items we have published on the Web have been appropriated and republished under other names. It is easy to detect such misuse, by the way, as you will learn in Chapter 3. --- Anand Rajaraman (@anand_raj) and Jeff Ullman Downloads Download the Complete Book (340 pages, approximately 2MB) Download chapters of the book: Preface and Table of Contents Chapter 1 Data Mining Chapter 2 Large-Scale File Systems and Map-Reduce Chapter 3 Finding Similar Items Chapter 4 Mining Data Streams Chapter 5 Link Analysis Chapter 6 Frequent Itemsets Chapter 7 Clustering Chapter 8 Advertising on the Web Chapter 9 Recommendation Systems Index
Tom Johnson

Future Journalism Project - Jonathan Stray of the Associated Press on... - 0 views

  • Jonathan Stray of the Associated Press on investigating thousands (or millions) of documents by visualizing clusters. Presentation is from February 2011 at the National Institute of Computer-Assisted Reporting. Visualizations built with multidimensional scaling algorithm Glimmer.
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    Jonathan Stray of the Associated Press on investigating thousands (or millions) of documents by visualizing clusters. Presentation is from February 2011 at the National Institute of Computer-Assisted Reporting. Visualizations built with multidimensional scaling algorithm Glimmer.
Tom Johnson

Suggestions (but not standards) for live tweeting « The Buttry Diary - 0 views

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    Suggestions (but not standards) for live tweeting September 6, 2011 by Steve Buttry "Do you know of any standards for content of live tweets?" a commenter asked on my blog recently. "I have students live tweet meetings and speeches. Would love some specific guidelines for what makes a good tweet," asked Michele Day, who teaches journalism at Northern Kentucky University. I know of no such standards. And if I did, I'd probably react that "standards" for a developing pursuit such as live-tweeting might be a bit rigid. This is a new technique and we are learning about it as we do it. I don't want standards to inhibit our development and experimentation with the technique. My standards would be the standards of good reporting: Be accurate, fair, interesting and engaging. https://stevebuttry.wordpress.com/2011/09/06/suggestions-but-not-standards-for-live-tweeting
Tom Johnson

Telling Stories With Data - 0 views

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    Goals and Topics Our goal with this workshop is to bring together data storytellers from diverse disciplines and continue the conversation of how these different fields utilize each other's techniques and articulate principles for telling data narratives. Our target participants are researchers, journalists, bloggers, and others who seek to understand how visualizations support narrative, stories, and other communicative goals. Participants may be designers of such visualizations or designers of tools that support the creation of narrative visualizations. Visualizations that serve as a "community mirror" and thus create opportunities for discussion, reflection and sharing within a social network are also suitable topics. While we are inspired by many visualizations that display personal histories and storylines, our focus is on visualization situated in storytelling contexts, not necessarily visualizations of stories. Specific topics of interest may include, but are not limited to: Media and genres Embedding visualizations in social media to tell stories Multimodal storytelling with visualization (e.g. narrated or acted visualization, such as Rosling's Gapminder presentations) Non-traditional narrative - games and other procedural narratives incorporating data Visualization in (data)journalism - how news stories and visualization can complement each other Visualizations that support specific types of stories: Personal stories ("Here's a history of my cancer treatment") Community and collaboration stories ("How has our Facebook group changed over the past year?") Public data sets and narrative ("What is your Senator doing with your taxes?") Fictional, semi-fictional, and non-fiction stories
Tom Johnson

The Journalist's Toolbox: Twitter Resources Archives - 0 views

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    Good collection from Shree of tools that can analyze Twitter posts. Recently in Twitter Resources Category Twitter and Social Media Resources
Tom Johnson

Intro to cleaning data | Knight Center - Berkeley - 0 views

  • Understanding how to clean  data is an important skill every reporter needs. Demographic, financial and other data is available on a city, county, state and national level in the United States. But understanding how to take a large data file and distill it into a usable form can be daunting. In this tutorial, you'll learn how spreadsheets work, basic data-cleaning workflow and how to use formulas and functions to clean data. This is a general tutorial and it doesn't delve deeply into one program. We'll use Microsoft Excel but most of the same techniques work in Google Spreadsheets and other programs.
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    Understanding how to clean data is an important skill every reporter needs. Demographic, financial and other data is available on a city, county, state and national level in the United States. But understanding how to take a large data file and distill it into a usable form can be daunting. In this tutorial, you'll learn how spreadsheets work, basic data-cleaning workflow and how to use formulas and functions to clean data. This is a general tutorial and it doesn't delve deeply into one program. We'll use Microsoft Excel but most of the same techniques work in Google Spreadsheets and other programs.
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