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The Filter Bubble

The Filter Bubble
So you want to pop your filter bubble — to see the neutral, un-filtered, un-personalized web. How do you go about it? Unfortunately, there are no magic bullets: The ad companies and personal data vendors that power and profit from personalization are far more technologically advanced than most of the tools for controlling your personal data. That’s why The Filter Bubble calls on companies and governments to change the rules they operate by — without those changes, it’s simply not possible to escape targeting and personalization entirely. But that doesn’t mean all is lost. Here are 10 simple steps you can take to de-personalize your web experience. 1. In Chrome, go to Preferences > Under the Hood > Content Settings (You can also see all the cookies on your machine here.)Firefox: Preferences > Privacy > Use custom settings for historySafari: Preferences > SecurityInternet Explorer: Internet options > Privacy 2. 3. 4. 5. 6. 7. 8. 9. 10.

http://www.thefilterbubble.com/10-things-you-can-do

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Algorithmic Literacies - THE LATE AGE OF PRINT I’ve spent the last few weeks here auditioning ideas for my next book, on the topic of “algorithmic culture.” By this I mean the use of computers and complex mathematical routines to sort, classify, and create hierarchies for our many forms of human expression and association. I’ve been amazed by the reception of these posts, not to mention the extent of their circulation. Even more to the point, the feedback I’ve been receiving has already prompted me to address some of the gaps in the argument — among them, the nagging question of “what is to be done?”

Keep your opt-outs Posted by Sean Harvey and Rajas Moonka, Product Managers Today we’re making available Keep My Opt-Outs, which enables you to opt out permanently from ad tracking cookies. It’s available as an extension for download in Chrome. Why have we developed this feature? Siva Vaidhyanathan Vaidhyanathan speaking at the 2011 Personal Democracy Forum Siva Vaidhyanathan (born June 16, 1966) is a cultural historian and media scholar and is a professor of Media Studies and Law at the University of Virginia. Vaidhyanathan is a frequent contributor on media and cultural issues in various periodicals including The Chronicle of Higher Education, New York Times Magazine, The Nation, MSNBC.com, and Salon.com. He is a fellow of the New York Institute for the Humanities and the Institute for the Future of the Book.

The Filter Bubble Personalization algorithms already tell us what movies to watch, news stories to read and tunes to listen to. It was only a matter of time, then, that they’d tell us who to love. Matching algorithms aren’t new to online dating services. EHarmony, Chemistry and OKCupid have long served up compatible mates based on dozens, if not hundreds, of questions singles answer on their sites. Conflicting Codes and Codings How Algorithmic Trading Is Reshaping Financial Regulation Abstract Contemporary financial markets have recently witnessed a sea change with the ‘algorithmic revolution’, as trading automats are used to ease the execution sequences and reduce market impact. Being constantly monitored, they take an active part in the shaping of markets, and sometimes generate crises when ‘they mess up’ or when they entail situations where traders cannot go backwards.

Are we stuck in filter bubbles? Here are five potential paths out The filter bubble is a name for an anxiety — the worry that our personalized interfaces to the Internet will end up telling us only what we want to hear, hiding everything unpleasant but important. It’s a fabulous topic of debate, because it’s both significant and marvelously ill-defined. But to get beyond arguing, we’re going to need to actually do something. I have five proposals.

A New Algorithmic Identity Soft Biopolitics and the Modulation of Control Abstract Marketing and web analytic companies have implemented sophisticated algorithms to observe, analyze, and identify users through large surveillance networks online. Unfiltered News "Hello Mr. Griffin, Thank you from the bottom of my heart for these news updates and for the huge service you have been doing for humanity. Your work has opened my eyes to so many agendas and continues to educate with every new post…. With sincere gratitude," – Oriana Spratt, Ashland, Oregon "The Unfiltered News is one of my VERY favorite weekly reads I look forward to receiving. Endless thanks for sharing news and interests most people are not aware of or have little time to follow up and research." – Jeanette R.

Technology - Mike Ananny - The Curious Connection Between Apps for Gay Men and Sex Offenders Reckless associations can do very real harm when they appear in supposedly neutral environments like online stores As I was installing Grindr on my Android phone yesterday, I scrolled down to take a look at the list of "related" and "relevant" applications. My jaw dropped. There, first on the list, was "Sex Offender Search," a free application created by Life360 that lets you "find sex offenders near you and protect your child ... so you can keep your family safe." I was flabbergasted. How and why was this association being made?

Facebook’s Censorship Problem (This piece has been cross-posted in The Huffington Post. And please see my follow-up post: Open Questions Remain in Facebook Censorship Flap) I few days ago, Facebook removed a photo of two men kissing from a user’s Wall due to an apparent violation of the site’s terms of service. Here’s the message the original poster received from Facebook: Neal Thomas Log in | Participants' Backstage Neal Thomas Neal Thomas is an assistant professor of communication studies at UNC Chapel Hill. CS 161 - Design and Analysis of Algorithms Course Description Course Overview: Introduction to fundamental techniques for designing and analyzing algorithms, including asymptotic analysis; divide-and-conquer algorithms and recurrences; greedy algorithms; data structures; dynamic programming; graph algorithms; and randomized algorithms. Required textbook: Kleinberg and Tardos, Algorithm Design, 2005. We will be covering most of Chapters 4–6, some parts of Chapter 13, and a couple of topics not in the book. Prerequisites: Introduction to proofs, and discrete mathematics and probability (e.g., CS 103 and Stat116). If you have not taken a probability course, you should expect to do some independent reading during the course on topics including random variables, expectation, conditioning, and basic combinatorics.

Benefits and Choices OpenSAL Libraries Provide a Foundation for Significant Performance Improvements Programmers are faced with several choices when writing applications where scientific math algorithms and functions are required. They can develop the capability themselves, integrate the functions tightly with their application and target compute engine, or utilize industry-proven tools to achieve repeatable results that reduce risk. Each project has its own constraints, but, more often than not, your company’s core expertise is not in creating compute-engine scientific algorithm Library optimizations. Mercury Computer Systems has been a leader in this area for over twenty years as a core competency expertise.

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