What is data journalism? In the summer of 1967 rioting hit Detroit.
It was a major news story: 43 people died and well over 1,000 were injured, with thousands more arrested. Journalist Philip Meyer decided to try reporting that story in a different way. 5 ways hyperlocal sites can do more with data. Credit: Image by Arbron on Flickr.
Some rights reserved Data journalism is still an embryonic concept in the UK's growing hyperlocal landscape. Despite some open data initiatives – and calls from the Coalition Government for an army of armchair auditors who will scrutinise public data "at a level that allows the public to see what is happening on their streets" – the results have yet to live up to the hyperlocal hyperbole. Oakland Police Beat applies data-driven investigative journalism in California.
Share on Tumblr One of the explicit connections I’ve made over the years lies between data-driven investigative journalism and government or corporate accountability.
In debugging the backlash to data journalism, I highlighted the work of The Los Angeles Times Data Desk, which has analyzed government performance data for accountability, among other notable projects. I could also have pointed to the Chicago Sun-Times, which applied data-driven investigative methods to determine that the City of Chicago’s 911 dispatch times vary widely depending on where you live, publishing an interactive map online for context, or to a Pulitzer Prize-winning story on speeding cops in Florida. This week, there’s a new experiment in applying data journalism to local government accountability in Oakland, California, where the Oakland Police Beat has gone online.
A Baltimore, affluence record pour le « journalisme assisté par ordinateur » Recalculating the newsroom: The rise of the journo-coder? Credit: Image by Arbron on Flickr.
Some rights reserved This is an edited version of a chapter fromData Journalism: Mapping the Future, being launched tomorrow by Abramis academic publishing, republished with kind permission. Data journalism: Mapping the future (RRP £15.95) is available at a reduced rate of £12 for Journalism.co.uk readers. Contact email@example.com for further information. "Why all your students must be programmers" was the provocative title of one of the liveliest panel discussions at the August 2013 Conference for the Association for Education in Journalism and Mass Communication in Washington DC. 5 questions à 6 datajournalistes. Formation Courrier Picard. Why Is Data Journalism Important? Filtering the Flow of Data When information was scarce, most of our efforts were devoted to hunting and gathering.
Now that information is abundant, processing is more important. How to Teach a Journalist Programming. Earlier this year I set out to tackle a problem that was bothering me: journalists who had started to learn programming were giving up.
They were hitting a wall. In trying to learn the more advanced programming techniques - particularly those involved in scraping - they seemed to fall into one of two camps: People who learned programming, but were taking far too long to apply it, and so losing momentum - the generalists. People who learned how to write one scraper, but could not extend it to others, and so becoming frustrated - the specialists. In setting out to figure out what was going wrong, I set myself a task which I have found helpful in taking a fresh perspective on an issue: I started writing a book chapter. Journalists - become data literate in three steps. Journalists - become data literate in three steps Details Last Updated on Sunday, 24 June 2012 09:16 Published on Saturday, 23 June 2012 05:31 Written by Nicolas Kayser-Bril Just as literacy refers to 'the ability to read for knowledge, write coherently and think critically about printed material' data literacy is the ability to consume for knowledge, produce coherently and think critically about data.
Open data journalism. Data is everywhere: from governments publishing billions of bytes of the stuff, to visual artists creating new concepts of the world through to companies building businesses on the back of it.
And everyone wants to be a data journalist too - the barriers for entry have never been lower as free tools change the rules on who can analyse, visualise and present data. Truly, anyone can do it. At the same time, journalism has undergone a transformation; it's not that long ago that the only way to get a story published by a major news organisation involved years of training and interning and generally slaving away until you get noticed and published. Now, the power has shifted and the days when journalists could shut themselves away from the world in order to hand out gems of beautiful writing have well and truly vanished.
Le journalisme « hacker » Data journalist handbook project. Rating: 5.0/5 (1 vote cast) By Federica Cocco Ravensbourne college is an ultramodern cubist design school which abuts the O2 arena on the Greenwich peninsula.
In the age of big data, data journalism has profound importance for society. The promise of data journalism was a strong theme throughout the National Institute for Computer-Assisted Reporting’s (NICAR) 2012 conference.
In 2012, making sense of big data through narrative and context, particularly unstructured data, will be a central goal for data scientists around the world, whether they work in newsrooms, Wall Street or Silicon Valley. Notably, that goal will be substantially enabled by a growing set of common tools, whether they’re employed by government technologists opening Chicago, healthcare technologists or newsroom developers. Le journalisme les doigts dans les données. DataJournalism : données, interactions, visualisations. Datablog.owni.fr. Les data en forme.