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The Rise of the Algorithmic Medium
Algorithms are the new medium between people and people, people and data, data and data. Internet of things, smart cities, cryptocurrencies...
Curated by Pierre Levy
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If you don’t like algorithmic filters, you’re probably not going to like the future of Twitter

If you don’t like algorithmic filters, you’re probably not going to like the future of Twitter | The Rise of the Algorithmic Medium | Scoop.it
Twitter appears to be set to move forward with its plans to algorithmically filter or re-order your timeline — for your own good, of course — despite a groundswell of complaints that this will ruin the essential Twitter experience
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Twitter’s new Fabric offering isn’t just a pitch for developers — the company’s future is at stake

Twitter’s new Fabric offering isn’t just a pitch for developers — the company’s future is at stake | The Rise of the Algorithmic Medium | Scoop.it
With the launch of the Fabric suite of tools, Twitter is betting the company on a plan to become a full-fledged mobile services provider for other apps and services — but it needs to convince developers that it is no longer the rapacious and self-interested dictator it once was
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The spirit of experimentation and the evolution of your home timeline | Twitter Blogs

The spirit of experimentation and the evolution of your home timeline | Twitter Blogs | The Rise of the Algorithmic Medium | Scoop.it
How experimentation informs the continued improvement of your home timeline.
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Why Twitter Should Not Algorithmically Curate the Timeline

Why Twitter Should Not Algorithmically Curate the Timeline | The Rise of the Algorithmic Medium | Scoop.it
It’s the Human Judgment of the Flock, Not the Lone Bird, That Powers It
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Twitter admits that as many as 23 million of its active users are automated

Twitter admits that as many as 23 million of its active users are automated | The Rise of the Algorithmic Medium | Scoop.it
This piece has been updated to clarify the kinds of accounts in question. Twitter raised eyebrows last month when it suggested that many of its active users aren't actually human. Now we know how many. In a new filing, the company said that "up to approximately 8.5%" of the accounts it considers active are automatically...
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Algorithm Writes People's Life Histories Using Twitter | MIT Technology Review

Algorithm Writes People's Life Histories Using Twitter | MIT Technology Review | The Rise of the Algorithmic Medium | Scoop.it
If you tweet about your life, a new algorithm can identify your most significant events and assemble them into an accurate life history, say the computer scientists who built it
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UK suicide-prevention charity Samaritans checks Twitter timelines for worrying posts

UK suicide-prevention charity Samaritans checks Twitter timelines for worrying posts | The Rise of the Algorithmic Medium | Scoop.it
The charity has launched a service called Samaritans Radar, which helps and encourages Twitter users to support potentially depressed contacts. However, some see it as invasive and counterproductive.
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Are we overreacting to Twitter’s latest blog post, or are retweets-as-faves here to stay?

Are we overreacting to Twitter’s latest blog post, or are retweets-as-faves here to stay? | The Rise of the Algorithmic Medium | Scoop.it
Twitter’s recent vaguely worded blog post got a big rise out of everyone from The Washington Post to The Guardian. But the company’s message was misinterpreted.
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What a Twitter algorithm could mean for brands, publishers - Digiday

What a Twitter algorithm could mean for brands, publishers - Digiday | The Rise of the Algorithmic Medium | Scoop.it
Twitter is looking to introduce an algorithm in 2015, a change that could drastically affect the platform for both advertisers and users.
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laurencc's curator insight, September 10, 2014 3:16 PM

should be read by all data researchers

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Twitter details its anti-spam system, BotMaker

Twitter details its anti-spam system, BotMaker | The Rise of the Algorithmic Medium | Scoop.it
Twitter has developed a system called BotMaker to deal with its spam problem. Essentially, BotMaker scans messages before they’re posted, after they’re posted, and as part of bulk data analyses in order to determine what’s spam and then deal with them accordingly.
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Twitter may be considering a Facebook-style feed -- but would that help its growth or derail it?

Twitter may be considering a Facebook-style feed -- but would that help its growth or derail it? | The Rise of the Algorithmic Medium | Scoop.it
Twitter CEO Dick Costolo suggested during the company’s earnings call that it is considering algorithmically-filtered features similar to Facebook’s newsfeed, but some users say if it implements a Facebook-style approach they will leave
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New Algorithm Can Spot the Bots in Your Twitter Feed | Wired Enterprise | Wired.com

New Algorithm Can Spot the Bots in Your Twitter Feed | Wired Enterprise | Wired.com | The Rise of the Algorithmic Medium | Scoop.it
Researchers have created an algorithm that can tell—with 85 percent accuracy—whether a Twitter account is home to a bot or (worse) a corporate shill.
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luiy's curator insight, October 19, 2013 2:04 PM

You know Twitter spam when you see it—but wouldn’t it be nice if you didn’t have to see it?

 

Unfortunately, email-style filters, which analyze message contents, are of little help. Due to the rigors of 140-character communication, even legitimate tweets tend to read like Nigerian phishing scams, while the hucksters often hide their pitches in links. So Twitter simply puts the onus on users to report offending accounts.

 

But a fascinating recent study from Imperial College London suggests a new approach. Borrowing some tricks from computational neuroscience, coauthors Gabriela Tavares and Aldo Faisal have come up with an algorithm that can tell—with 85 percent accuracy—whether a Twitter account is home to a bot or (worse) a corporate shill instead of a regular person.

 

It’s all in the timing. By analyzing the timestamps on 165,000 tweets, the researchers found that these three user types—individuals, companies, and robots—have very distinct activity patterns. Think of it as temporal fingerprinting. The approach could eventually be used to create more effective filters for all kinds of social networks.

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Why Twitter Has More Freedom to Innovate Than Google | Wired Enterprise | Wired.com

Why Twitter Has More Freedom to Innovate Than Google | Wired Enterprise | Wired.com | The Rise of the Algorithmic Medium | Scoop.it
When the University of Michigan abandoned good old fashioned telephone lines in favor of new-age phones that sent calls over the public internet, Marius Eriksen's class project was to build software that could eavesdrop on student conversations.
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