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How to Burst the "Filter Bubble" that Protects Us from Opposing Views

How to Burst the "Filter Bubble" that Protects Us from Opposing Views
The term “filter bubble” entered the public domain back in 2011when the internet activist Eli Pariser coined it to refer to the way recommendation engines shield people from certain aspects of the real world. Pariser used the example of two people who googled the term “BP”. One received links to investment news about BP while the other received links to the Deepwater Horizon oil spill, presumably as a result of some recommendation algorithm. This is an insidious problem. Much social research shows that people prefer to receive information that they agree with instead of information that challenges their beliefs. This problem is compounded when social networks recommend content based on what users already like and on what people similar to them also like. This is the filter bubble—being surrounded only by people you like and content that you agree with. And the danger is that it can polarise populations creating potentially harmful divisions in society. It’s certainly a start. Related:  Network Science

US Military Scientists Solve the Fundamental Problem of Viral Marketing Viral messages begin life by infecting a few individuals and then start to spread across a network. The most infectious end up contaminating more or less everybody. Just how and why this happens is the subject of much study and debate. Network scientists know that key factors are the rate at which people become infected, the “connectedness” of the network and how the seed group of individuals, who first become infected, are linked to the rest. It is this seed group that fascinates everybody from marketers wanting to sell Viagra to epidemiologists wanting to study the spread of HIV. So a way of finding seed groups in a given social network would surely be a useful trick, not to mention a valuable one. These guys have found a way to identify a seed group that, when infected, can spread a message across an entire network. Their method is relatively straightforward. This process finishes when there is nobody left in the network who has more friends than the threshold. Expect to hear more!

Tester le rendu de la version mobile de son site Web depuis un ordinateur. | SysKB.com Si vous développez un site ou maintenez un blog, le rendu que peut avoir votre site sur un appareil mobile de type Smartphone / Tablette est un critère à ne pas négliger pour capter d’avantage d’audience. Mais les utilisateurs de terminaux mobiles sont exigeants. Hors de question de consulter un site mal construit, ou la navigation est laborieuse. Je vous propose de découvrir une petite application en ligne permettant de simuler l’accès à votre site Web depuis un terminal mobile de votre choix afin de vérifier simplement votre > Mobile Emulator 2.0 Partagez cet article avec vos amis Vous avez aimé cet article ? Google+ TeacherTube - Teach the World Filter bubble Intellectual isolation involving search engines The term filter bubble was coined by internet activist Eli Pariser, circa 2010. A filter bubble or ideological frame is a state of intellectual isolation[1] that can result from personalized searches when a website algorithm selectively guesses what information a user would like to see based on information about the user, such as location, past click-behavior, and search history.[2] As a result, users become separated from information that disagrees with their viewpoints, effectively isolating them in their own cultural or ideological bubbles.[3] The choices made by these algorithms are only sometimes transparent.[4] Prime examples include Google Personalized Search results and Facebook's personalized news-stream. Technology such as social media “lets you go off with like-minded people, so you're not mixing and sharing and understanding other points of view ... Concept[edit] Many people are unaware that filter bubbles even exist. [edit]

The Global Brain Institute The GBI uses scientific methods to better understand the global evolution towards ever-stronger connectivity between people, software and machines. By developing concrete models of this development, we can anticipate both its promises and its perils. That would help us to steer a course towards the best possible outcome for humanity. Objectives (for more details, check our strategic objectives and activities) Assumptions We see people, machines and software systems as agents that communicate via a complex network of communication links. Challenges that cannot be fully resolved by a single agent are propagated to other agents, along the links in the network. The propagation of challenges across the global network is a complex process of self-organization.

Real-Time News Curation - The Complete Guide Part 4: Process, Key Tasks, Workflow I have received a lot of emails from readers asking to illustrate more clearly what the actual typical tasks of a news curator are, and what are the tools that someone would need to use to carry them out. In Part 4 and 5 of this guide I am looking specifically at both the workflow, the tasks involved as well as at the attributes, qualities and skills that a newsmaster, or real-time news curator should have. 1. Identify NicheIdentify your specific topic-theme. The more specific, the better. Sequence your selected news stories to provide the most valuable information reading experience to your readers. There are likely more tasks and elements to the news curator workflow that I have been able to identify right here. Please feel free to suggest in the comment area, what you think should be added to this set of tasks. Photo credits:1.

School Technology Needs Assessment (STNA) - SERVE Center at the University of North Carolina at Greensboro BackgroundThe School Technology Needs Assessment (STNA, say "Stenna") was originally developed by SEIR*TEC at SERVE in collaboration with the North Carolina Department of Public Instruction's Educational Technology Division, as part of the LANCET project (Looking at North Carolina Educational Technology). The STNA was created to help building-level planners collect and analyze needs data related to implementation of the NC IMPACT technology integration model, as well as other contemporary frameworks for examining technology use in teaching and learning. The STNA is typically accessed through a web address unique to each school, using a free online surveying system provided by SERVE. A summary of the results of a study on STNA is available from SERVE (PDF). A copy of a paper presented at the 2007 annual meeting of the American Evaluation Association in Baltimore, MD detailing the study is also available. A sample of the online STNA is available for review.

Escape your search engine Filter Bubble! New research to uncover nuances of networks Feb. 20, 2013 9:01 a.m. When a species disappears from a region, the rest of the ecosystem may flourish or collapse, depending on the role that species played. When a storm rolls across the coast, the power grid might reconfigure itself quickly or leave cities dark for days. A snowstorm might mean business as usual in a hardy city and a severe food shortage in another, depending on the distribution strategies of residents. Each of these systems is a kind of network, with thousands of members and relationships linking them. Understanding how networks behave is key to ensuring their functioning. With current network theory, scientists can predict a few simple trends, such as which web pages are likely to get more hits over time. A new four-year, $2.9 million grant from the Defense Advanced Research Projects Agency is supporting SFI research that will, the researchers hope, propel their understanding of networks to the next level. They have already made progress.

Museums and the Web 2010: Papers: Miller, E. and D. Wood, Recollection: Building Communities for Distributed Curation and Data Sharing Background The National Digital Information Infrastructure and Preservation Program at the Library of Congress is an initiative to develop a national strategy to collect, archive and preserve the burgeoning amounts of digital content for current and future generations. It is based on an understanding that digital stewardship on a national scale depends on active cooperation between communities. The NDIIPP network of partners have collected a diverse array of digital content, including social science data-sets; geospatial information; Web sites and blogs; e-journals; audiovisual materials; and digital government records ( These diverse collections are held in the dispersed repositories and archival systems of over 130 partner institutions where each organization collects, manages, and stores at-risk digital content according to what is most suitable for the industry or domain that it serves. Specific goals for the Recollection project are to: Future Work

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