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Data Journalism Developer Studio 2012LX

Data Journalism Developer Studio 1.0.0 Released!

 AlgoCompSynth, Computational Journalism, Computational Seismology, Computer-Assisted Reporting, Data Journalism, Data Mining, Data-Driven Journalism, Digital Media Creation, Finance, Geospatial Analysis / Mapping, JavaScript, Journalism, Machine Learning, Natural Language Processing, Open Source, Project Kipling, Python, R Programming, Exploratory Data Analysis and Data Visualization, Real-Time Journalism, Reproducible Research, Ruby, SMART@znmeb, Twitter Streaming API, Twitter Text Mining  Comments Off
May 292011
 

I’ve just pushed release 1.0.0 of the Data Journalism Developer Studio into the SUSE Gallery. Changes:

  • The base appliance ships with Mozilla Firefox as the browser rather than Chromium. Chromium is available as an add-on installation script set. This was a difficult decision for me to make, but the version of Chromium in the Open Build Service is 13.0.xxx, which is updated frequently and can be unstable. This is roughly equivalent to Google’s “Canary” build on Windows and Macintosh. Chromium was proving too unstable for regular use, so I replaced it with Firefox.
  • I added CoffeeScript to the install scripts for node.js and NowJS. If you’re a JavaScript developer, I welcome more suggestions for node.js packages.

I’m planning to open the project up to other developers in the near future. Now that the Fundry feature request mechanism is in place, the road map is public. My own plan is to start building user-level documentation. Most of the software in the appliance is well-documented on its own, but there aren’t too many examples of application-level usage that I’ve been able to find.

Powered by Fundry

 Posted by Ed Borasky at 23:02

Are We Heading Back To The Days Of Yellow Journalism In The Tweet Stream?

 Business Intelligence, Computational Journalism, Computer-Assisted Reporting, Data Journalism, Data Mining, Data-Driven Journalism, Journalism, Machine Learning, Natural Language Processing, Open Source, Project Kipling, R Programming, Exploratory Data Analysis and Data Visualization, Real-Time Journalism, SMART@znmeb, Social Media Analytics, Social Media Monitoring, Social Media Optimization, Twitter, Twitter Monitoring Tools, Twitter Text Mining  Comments Off
Mar 112011
 

I’m really conflicted about this. On the one hand, I know Twitter needs to sell advertising, and web services need to promote themselves. And yes, this is a real news event, not a manufactured story. But I wonder – are we heading back to the days of “Yellow Journalism” in the tweet stream? Please comment below.

 Posted by Ed Borasky at 10:23

Is Kraft’s “Mac and Cheese” Twitter Campaign Backfiring?

 Business Intelligence, Computational Journalism, Computer-Assisted Reporting, Data Journalism, Data Mining, Data-Driven Journalism, Journalism, Machine Learning, Marketing, Natural Language Processing, Open Source, Project Kipling, R Programming, Exploratory Data Analysis and Data Visualization, Real-Time Journalism, SMART@znmeb, Social Media Analytics, Social Media Monitoring, Social Media Optimization, Twitter, Twitter Monitoring Tools, Twitter Text Mining  2 Responses »
Mar 082011
 

 According to Mashable, “Kraft Looks to Reward Twitter Users Who Tweet About Mac & Cheese“,

Under a new program quietly rolled out over the past few weeks, any time two people individually use the phrase “mac & cheese” in a tweet, they’ll each get a link pointing out the “Mac & Jinx.” The first one to click the link and give Kraft his or her address gets five free boxes of Kraft’s mac and cheese and a T-shirt.

It seems that “Mac & Cheese” is now a Trending Topic, as of 2011-03-08 19:12 UTC. But when you click on the topic, you see this Promoted Tweet:

What could be worse? Alyssa Milano, who has 1,403,372 followers, posted this tweet:

This could get interesting. 

Update: it has gotten interesting. @WootLive has gotten into the act.

Update: FriendsEAT has tweeted about capacity issues stemming from their article.

Oh, by the way — the Kraft campaign that started this whole thing is being run by Crispin Porter + Bogusky. Does that name sound familiar? It’s the same agency that came up with the GroupOn Super Bowl ads about Tibet and seafood curry.

 Posted by Ed Borasky at 11:25

Twitter Appliances Removed From SUSE Gallery

 Business Intelligence, Computational Journalism, Computer-Assisted Reporting, Data Journalism, Data Mining, Data-Driven Journalism, Journalism, Machine Learning, Natural Language Processing, Open Source, Project Kipling, R Programming, Exploratory Data Analysis and Data Visualization, Real-Time Journalism, SMART@znmeb, Social Media Analytics, Social Media Monitoring, Social Media Optimization, Twitter, Twitter Monitoring Tools, Twitter Text Mining  Comments Off
Mar 032011
 

Update 2011-03-20

For a variety of reasons, I have replaced the Social Media Analytics Research Toolkit, Code Like A Pirate and Project Kipling with a new, modular appliance called the Data Journalism Developer Studio. All of the software found in those three appliances can be installed via scripts provided in the new appliance. Links:

Upon careful reading of Twitter’s API Terms of Service, I have decided to temporarily remove two appliances from the SUSE Studio Gallery. Those two appliances are the Social Media Analytics Research Toolkit (SMART@znmeb) and Project Kipling Real-Time Data Journalism Tools. I do intend to put them back on line at some point in the future, but I do not at this time know when they will be back, because I haven’t determined the scope of required changes to the appliances or their marketing materials. Why? These two appliances may be in violation of item 4.A. below:

4. You will not attempt or encourage others to:

A. sell, rent, lease, sublicense, redistribute, or syndicate the Twitter API or Twitter Content to any third party for such party to develop additional products or services without prior written approval from Twitter;

B. remove or alter any proprietary notices or marks on the Twitter API or Twitter Content;

C. use or access the Twitter API for purposes of monitoring the availability, performance, or functionality of any of Twitter’s products and services or for any other benchmarking or competitive purposes; or

D. use Twitter Marks as part of the name of your company or Service, or in any product, service, or logos created by you. You may not use Twitter Marks in a manner that creates a sense of endorsement, sponsorship, or false association with Twitter. All use of Twitter Marks, and all goodwill arising out of such use, will inure to Twitter’s benefit.

E. use or access the Twitter API to aggregate, cache (except as part of a Tweet), or store place and other geographic location information contained in Twitter Content.

While I don’t encourage people to redistribute Twitter data, the appliances do have the ability to collect Twitter data and I can’t prevent them from redistributing it. I want to emphasize that Twitter has not asked me to take these appliances down! I don’t know that they violate the letter of item 4.C., but I think they violate the spirit of that clause, so I am removing them until I can determine in what form they are viable products.

 Posted by Ed Borasky at 21:50
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