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e-Xploration
antropologo.net, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
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What's (technically) in your tweets? | #datascience #API #twitter

What's (technically) in your tweets? | #datascience #API #twitter | e-Xploration | Scoop.it
Just because you only see 140 characters doesn't mean that Twitter isn't getting complicated behind the scenes. Here's how status objects are evolving.
luiy's insight:

.. an interesting map of what's going on behind your Twitter stream. As it turns out, there is quite a bit of data associated with not just you as a user, but also with every tweet that you post to the service.

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The Hidden Technology That Makes Twitter Huge | #TwitterAnatomy

The Hidden Technology That Makes Twitter Huge  | #TwitterAnatomy | e-Xploration | Scoop.it
How did an unprofitable startup become a multibillion-dollar public company? By making sophistication look simple

Via Pierre Levy
luiy's insight:

While a tweet thrives in its timeline, among the other tweets, it’s also designed to stand on its own, forever. Any tweet might show up embedded inside a million different websites. It may be called up and re-displayed years after posting. For all their supposed ephemerality, tweets have real staying power.

 

Once born, they’re alone and must find their own way to the world, like a just-hatched sea turtle crawling to the surf. Luckily they have all of the information they need in order to make it: A tweet knows the identity of its creator, whether bot or human, as well as the location from which it originated, the date and time it went out, and dozens of other little things—so that wherever it finds itself, the tweet can be reconstituted. Millennia from now an intelligence coming across a single tweet could, like an archaeologist pondering a chunk of ancient skull, deduce an entire culture.

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All tweets share the same anatomy. To examine the guts of a tweet, you request an “API key” from Twitter, which is a fast, automated procedure. You then visit special Web addresses that, instead of nicely formatted Web pages for humans to read, return raw data for computers to read. That data is expressed in a computer language—a smushed-up nest of brackets and characters. It’s a simplified version of JavaScript called JSON, which stands for JavaScript Object Notation. API essentially means “speaks (and reads) JSON.” The language comes in a bundle of name/value fields, 31 of which make up a tweet. For example, if a tweet has been “favorited” 25 times, the corresponding name is “favorite_count” and “25” is the value.

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Pierre Levy's curator insight, November 8, 2013 9:40 PM

The power of metadata!

Fàtima Galan's curator insight, November 12, 2013 7:19 AM

"This metadata contains not just tidy numerals like “25” but also whole new sets of name/value pairs—big weird trees of data. A good example is in the “coordinates” part of the tweet. "

Rescooped by luiy from Big Data
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IBM Makes Watson Available via API | #machinelearning #AI

IBM Makes Watson Available via API | #machinelearning #AI | e-Xploration | Scoop.it
IBM has upped the ante in the API game by making its Watson question-answering system available as a service. That’s right, Watson could soon power your smartphone app.

Via Ed Stenson
luiy's insight:

IBM didn’t have to flaunt its debatable cloud dominance over Amazon Web Services on the sides of public buses if it wanted to upstage the cloud kingpin at its user conference this week — Big Blue could have just led with the news that its famous, Jeopardy!-champ-destroying Watson system is now available as a cloud service.

 

That’s right: Developers who want to incorporate Watson’s ability to understand natural language and provide answers need only have their applications make a REST API call to IBM’s new Watson Developers Cloud. “It doesn’t require that you understand anything about machine learning other than the need to provide training data,” Rob High, IBM’s CTO for Watson, said in a recent interview about the new platform.

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Fàtima Galan's curator insight, November 15, 2013 8:20 AM

"In order to encourage programmers to take advantage of the platform, IBM is working with venture capital firms — including New Enterprise Associates — to support and fund startups using the Watson API."

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The Age of #Context and the #API Economy

The Age of #Context and the #API Economy | e-Xploration | Scoop.it
Shel Israel and Robert Scoble's new book Age of Context does an excellent job of laying out our contextual future - APIs are part of what will power that future
luiy's insight:

The API Economy


The emerging economic effects enabled by companies, governments, non-profits, and individuals of using APIs to provide direct programmable access to their systems and processes.

Some well-known examples of APIs that are significant are the Netflix phenomena. Roku,Amazon, eBay, Salesforce.com, Google, Microsoft, Facebook, Twitter, LinkedIn and Twilioare all examples of companies using APIs to change their business and even how the Internet is used and how it works. The Health Care industry is also very active in providing APIs. The ProgrammableWeb shows there are 129 medical APIs. The controversialHealthcare.gov web site has a powerful developers program with APIs.

 

Programmable Web tracks open published APIs and categorizes them on a daily basis. Programmable Web has now over 10,000 APIs listed and the growth continues to be at over 100% compound annual growth.

 

Needless to say, it is very important for every organization to understand what its role is going to be in this critical emerging API Economy.

 

 

Summary

 

There is no question in my mind about the Age of Context and its subsequent disruption and following benefits. We are just not recognizing that the ultimate success Age of Context will be enabled by the advent of API ubiquity.

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