‘The basic reaction of the human mind to pleasure and to achievement is not satisfaction; it’s the craving for more.’
Research and publish the best content.
Get Started for FREE
Sign up with Facebook Sign up with X
I don't have a Facebook or a X account
Already have an account: Login
Peer2Politics
135.7K views |
+0 today
on peer-to-peer dynamics in politics, the economy and organizations
Curated by
jean lievens
 Your new post is loading...
Scoop.it!
From
www
Algorithms have so far analyzed human identity merely for economic reasons. The result is dangerously far removed from our reality. 
Scoop.it!
Every time you open Facebook, one of the world’s most influential, controversial, and misunderstood algorithms springs into action. It scans and collects everything posted in the past week by each of your friends, everyone you follow, each group you belong to, and every Facebook page you’ve liked. For the average Facebook user, that’s more than 1,500 posts. If you have several hundred friends, it could be as many as 10,000. Then, according to a closely guarded and constantly shifting formula, Facebook’s news feed algorithm ranks them all, in what it believes to be the precise order of how likely you are to find each post worthwhile. Most users will only ever see the top few hundred.
Scoop.it!
“How can the power of algorithms be understood and, when called for, controlled? We are only starting to understand how these strings of computer code are shaping our view of the world. As researchers point out, inherent biases in algorithms can lead to startling discriminatory possibilities, with important consequences.
Scoop.it!
From
phys
Big-data analysis consists of searching for buried patterns that have some kind of predictive power. But choosing which "features" of the data to analyze usually requires some human intuition. In a database containing, say, the beginning and end dates of various sales promotions and weekly profits, the crucial data may not be the dates themselves but the spans between them, or not the total profits but the averages across those spans.
Scoop.it!
From
qz
Should the Facebooks and Googles of the world put users on a healthier information diet?
Scoop.it!
(2015). Algorithmic Accountability. Digital Journalism: Vol. 3, Journalism in an Era of Big Data: Cases, Concepts, and Critiques, pp. 398-415. doi: 10.1080/21670811.2014.976411
Scoop.it!
Originally posted on Pierre Levy's Blog:
Scoop.it!
Algorithms, central to the sharing economy, could use a way to be shared themselves.
Scoop.it!
It seems not a day goes by without an industry leader remarking that machine learning algorithms are the future of everything. Unfortunately, data scientist extraordinaire Hilary Mason is calling bullshit on the whole affair.
Scoop.it!
A few months ago I made the trek to the sylvan campus of the IBM research labs in Yorktown Heights, New York, to catch an early glimpse of the fast-arriving, long-overdue future of artificial intelligence. This was the home of Watson, the electronic genius that conquered Jeopardy! in 2011. The original Watson is still here—it's about the size of a bedroom, with 10 upright, refrigerator-shaped machines forming the four walls. The tiny interior cavity gives technicians access to the jumble of wires and cables on the machines' backs. It is surprisingly warm inside, as if the cluster were alive.
Scoop.it!
People will not need journalists to bring them news in the future, we have automated algorithms and social connections for that. The sooner you accept that, the sooner you can start to build a better (and economically viable) model.
|
Scoop.it!
The Internet of Things (IoT) and big data are converging to make business a lot smarter.
Scoop.it!
A presentation and talk by Matthew Fuller and Graham Harwood on the invisible power of algorithms at the Academy of Fine Arts in Vienna. Part of the series "Algorithmic Regimes and Generative Strategies" hosted by Felix Stalder and Konrad Becker.
Scoop.it!
Keynote Title: Collaborative Algorithm Platforms Keynote Lecturer: Michele Sebag Presented on: 21/07/2015, Colmar, Alsace, France Abstract: In many domains ...
Scoop.it!
every node controls their own taxeme and what tax-rate it uses. taxemes are inherited per transaction. inherited taxemes last until someone else inherits it. each node is taxed using the lowest taxeme it carries. taxemes collapse when they return to the originator.
Scoop.it!
Venture capitalists have long used subjective methods to make investments. Could an approach inspired by Moneyball help?
Scoop.it!
As our political and media systems rapidly evolve, social scientists are revisiting and updating existing models, theories, and methods for investigating the effects of the media on political attitudes and behavior. Among topics, understanding the relationship between media and political ...
Scoop.it!
Banking, logistics, surgery, and medical recordkeeping are just a few of the occupations that have already been given over to machines.
Scoop.it!
If you're trying out for a job, the one judging you may not be a person it could be a computer. Algorithms are evaluating human voices to determine which ones are engaging, calming and trustworthy.
Scoop.it!
Companies including Wal-Mart, Credit Suisse and Box are analyzing an array of data points to determine who is likely to leave. The idea is for managers to have early warning so they can take action before employees jump ship.
Scoop.it!
As many of you know, Facebook announced a major change last year that will give promotional organic posts less visibility, starting in January of 2015. Well, it’s already 2015. So what should do marketers do (other than panic)? We … Continued
Scoop.it!
Model for evaluating product-recommendation algorithms suggests that trial and error get it right.
|
