Excited about maps after State of the Map? FOSS4G deadline is April 15, plus Chicas Poderosas comes to Miami this weekend.
When we talk with newsrooms about open-sourcing their work, often the response we get is that they’d love to, but deadline pressures keep the last-mile work and documentation that signifies a good open-source project on the to-do list. So at OpenNews, we came up with a simple proposition: What if we free up that time by getting developers out of the deadline grind? Let’s put them up for a few days, feed them, and help get the work done.
Paul Overberg explains base tables and how to get the best data from them (hint: ask good questions!).
If your websites have SSL enabled (when users log in, for example), or if you use VPN software to secure your network, or if you run your own mail servers, your newsroom might be affected by Heartbleed. Here’s what to do next.
Job hunting can be an intimidating process, especially for recent grads or people looking to break into a new field. The journalism tech community is a welcoming place for new faces and Sisi Wei and Jeremy B. Merrill want to help you overcome any fears and apply for jobs and internships in this growing and evolving field.
Today is deadline day for Wikimania, plus get your Data Journalism Awards entries and Open Source Bridge proposals in by Friday.
Not sure where to begin with this whole bot thing? Joseph Kokenge is here to help you get started with botmaking 101.
Matt Waite on Daft Punk, algorithmic news, hamster wheels, and journalism’s Rushkoff moment.
Just before Thanksgiving last year, a new novelty Twitter account gained notice in our newsroom. @NYTMinusContext, promising “All Tweets Verbatim From New York Times Content. Not Affiliated with New York Times.” tweeted fragments from Times articles that you might not think twice about while reading in article format. Isolated, though, these phrases can be absurd, surprising, and delightful.
Albert Sun from Interactive News team at the New York Times tells how they use Huginn, a Ruby on Rails project, to create automated agents and scheduled tasks.
Around 6:25 a.m. I was awakened by a jolt from slipping tectonic plates. The tremor didn’t last very long, and as soon as my window stopped rattling my first thought was to check for an email.
Automated news-gathering tools aren’t new, but they’re multiplying like crazy and getting quite a bit of attention. Little bots have also turned into interesting remixing devices and distribution channels, especially on Twitter. This week on Source, we’re going 100% bot.
Jacqui Maher says it’s not just the numbers, it’s what they mean about the audience.
The HuffPost Predict-o-Tron is a tool we built to let people make their own March Madness bracket predictions using basketball statistics, expert ratings, and results from the past four tournaments.
There are some interesting tidbits to be found in the data, although they all need to be qualified with the understanding that model performance is based on only four years of data, which leaves us at risk of overfitting. This means that slider combinations that appear to do very well for the past four years may not continue to perform as well if expanded to the past 10 years. With that said, it looks like the experts are very good at picking a bracket, taller teams tend to do better than shorter teams, younger teams do better than older teams, and teams with more depth (both in scoring and playing time) do better than teams with less depth.
People tweet what they think, when they think it—and, crucially, we wanted to provide a visualization for the State of the Union speech which reflected that. This wouldn’t be a (shudder) word cloud based on frequencies but a way to track the conversation on Twitter as it was directly influenced by the President’s speech.