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Ed Webb

Gin, Television, and Social Surplus - Here Comes Everybody - 1 views

www.shirky.com/...looking-for-the-mouse.html

technology web2.0 shirky Culture future Media sociology history connectiveknowledge crowdsourcing networks

shared by Ed Webb on 28 Sep 09 - Cached
  • television watching? Two hundred billion hours, in the U.S. alone, every year. Put another way, now that we have a unit, that's 2,000 Wikipedia projects a year spent watching television. Or put still another way, in the U.S., we spend 100 million hours every weekend, just watching the ads.
  • The physics of participation is much more like the physics of weather than it is like the physics of gravity. We know all the forces that combine to make these kinds of things work: there's an interesting community over here, there's an interesting sharing model over there, those people are collaborating on open source software. But despite knowing the inputs, we can't predict the outputs yet because there's so much complexity.
  • The normal case of social software is still failure; most of these experiments don't pan out. But the ones that do are quite incredible
  • ...3 more annotations...
  • It's better to do something than to do nothing. Even lolcats, even cute pictures of kittens made even cuter with the addition of cute captions, hold out an invitation to participation. When you see a lolcat, one of the things it says to the viewer is, "If you have some sans-serif fonts on your computer, you can play this game, too." And that's message--I can do that, too--is a big change.
  • media is actually a triathlon, it 's three different events. People like to consume, but they also like to produce, and they like to share.
  • Here's something four-year-olds know: A screen that ships without a mouse ships broken. Here's something four-year-olds know: Media that's targeted at you but doesn't include you may not be worth sitting still for. Those are things that make me believe that this is a one-way change. Because four year olds, the people who are soaking most deeply in the current environment, who won't have to go through the trauma that I have to go through of trying to unlearn a childhood spent watching Gilligan's Island, they just assume that media includes consuming, producing and sharing.
Asako Yoshida

What is Connectivism trying to be? « Learning Games - 0 views

learninggames.wordpress.com/...t-is-connectivism-trying-to-be

shared by Asako Yoshida on 25 Sep 09 - Cached
  • And while we can see that socio-linguistics is clearly emergent, without reference to specific phenomena that only exist at the social level the ability to understand and explain language change in society becomes quite constrained.
  • Minsky concludes that “it makes no sense to seek a single best way to represent knowledge”
Ed Webb

The 'Web Squared' Era - Forbes.com - 0 views

www.forbes.com/...-breakthroughs-web2point0.html

TimOReilly web web2.0 future ARG augmented ubiquity RFIDs

shared by Ed Webb on 25 Sep 09 - No Cached
  • Web 2.0, the name we gave this phenomenon in 2004 when we named our new conference, turns five on Oct. 5
  • Web Squared.
  • Web Squared is another way of saying "Web meets World."
  • ...3 more annotations...
  • collective intelligence applications are increasingly driven by cascades of sensor data being thrown off by devices, often without explicit human intervention. Today’s smartphones contain microphones and cameras, as well as motion, proximity, location, and direction sensors. They have their own eyes, ears, and sense of touch. Revolutionary new applications connect those senses to cloud databases and programs running on massive server farms.
  • Where the Web Squared world gets really interesting, though, is when applications use all the senses of a device, coordinating them much like the human brain coordinates our senses, to draw conclusions that would be difficult with one sense alone.
  • our world will have "information shadows." Augmented reality amounts to information shadows made visible.
gobibijou

Stephen Downes - 0 views

www.blip.tv/840097

downes elearning education web2.0

shared by gobibijou on 24 Sep 09 - Cached
  • ning 2.0 and the
    • gobibijou
      gobibijou on 24 Sep 09
       
      S. Downes: http://www.blip.tv/file/840097 2 approaches to learning - tradiotional (AI): old artifitial technology. Expert system organises. Old managnement systems. Focus on: - Goal orientated. - Competencies. - Efficency (from A to B in the most efficient). Requieres: - an expert - knowledge representation (VS. Siemens: the knowledge that we have CAN'T be represented) for expl. language -- Problem: it creates a simplification of the knowledge. - learning activities are set up by an expert. -network approach: (???IDF). Conectivism (born 40 years ago Pappert &?). Computational system is NOT set up as a representational system BUT is set up as a NETWORK (like a brain). The connectivist system: - is unnorganized - is unstructured (previously) - looks messy and unorganised - can NOT be predicted HOw Knowledge is represented in the system? DISTRIBUTED. Our concept of X is not a symbolic representation but a set up of active connections also in a neuronal level (?) Model of learning NOt based in deduction and inference BUT on ASSOCIATION based on: - concurrency. - proximity. - back propagation (economics: supply and demand market is based on that) - ???Amealing the way form networks/community in society work in THE SAME WAY that they do in a neuronal level and a personal level. Communities ARE networks that work through distributed connections. How should be the network? - DIVERSITY (wide representation of different points of views) Knowledge in a network is: EMERGENT - AUTONOMY : each individual is self-directed. Each individual works as his own guide. - CONNECTEDNESS (or interactivities). Knowledge produced by mechanism of interaction is produced by the nature/properties of the network. The way/organization of connections are formed is essential. - OPENESS (there's no inside/outside the "system"). Connection FLOWS freely. RECOGNITION of patterns (clustter). LEARNERS: Learners have different things they want to learn and the system
  • 2.0 and the impact of web 2
    • gobibijou
      gobibijou on 24 Sep 09
       
      S. Downes: http://www.blip.tv/file/840097 NOtes (need to be double checked) 2 approaches to learning 1. traditional (AI): old artifitial technology. Expert system organises. Old managnement systems. Focus on: - Goal orientated. - Competencies. - Efficency (from A to B in the most efficient). Requieres: - an expert - knowledge representation (VS. Siemens: the knowledge that we have CAN'T be represented) for expl. language -- Problem: it creates a simplification of the knowledge. - learning activities are set up by an expert. 2.-network approach: (???IDF). Conectivism (born 40 years ago Pappert &?). Computational system is NOT set up as a representational system BUT is set up as a NETWORK (like a brain). The connectivist system: - is unnorganized - is unstructured (previously) - looks messy and unorganised - can NOT be predicted HOw Knowledge is represented in the system? DISTRIBUTED. Our concept of X is not a symbolic representation but a set up of active connections also in a neuronal level (?) Model of learning NOt based in deduction and inference BUT on ASSOCIATION based on: - concurrency. - proximity. - back propagation (economics: supply and demand market is based on that) - ???Amealing the way form networks/community in society work in THE SAME WAY that they do in a neuronal level and a personal level. Communities ARE networks that work through distributed connections. How should be the network? - DIVERSITY (wide representation of different points of views) Knowledge in a network is: EMERGENT - AUTONOMY : each individual is self-directed. Each individual works as his own guide. - CONNECTEDNESS (or interactivities). Knowledge produced by mechanism of interaction is produced by the nature/properties of the network. The way/organization of connections are formed is essential. - OPENESS (there's no inside/outside the "system"). Connection FLOWS freely. RECOGNITION of patterns (clustter). LEARNERS: Learners have different thin
  • gobibijou on 24 Sep 09
     
    downes talking about approaches in education. Web 2.0, elearning...
Ed Webb

Danny Sullivan: Search Wars -- With Bing, Twitter and Facebook, There's More to Searchi... - 0 views

www.huffingtonpost.com/...ars----with-bing_b_292373.html

google search twitter facebook crowdsourcing

shared by Ed Webb on 23 Sep 09 - Cached
  • In fact, Google's not just a habit. It's a virtual best friend for many people. In the past, we depended on friends, family and professionals for advice. These days, we turn to search engines for a range of issues, from deeply personal questions to trivia answers. Google is the leading search engine. Like a best friend, Google always there for us, listening and offering help. Google challengers like Bing are the equivalent of someone you don't know walking up and saying they want to be your new best friend. Thanks, but I'm covered.
  • Well, lots of those tweets are actually searches. Many people tweet questions out to their friends, families and others they follow on Twitter. Plenty get back answers, quickly, and from trusted sources. Twitter's not just a new best friend. It's access to hundreds of best friends, for advice.
  • Outside of tweeting, there's also Twitter Search itself. Was that an earthquake? Is your cable down? Twitter can tell you answers to such "real time" events even faster than Google.
Ed Webb

The Dirty Little Secret About the "Wisdom of the Crowds" - There is No Crowd - 0 views

www.readwriteweb.com/...t_the_wisdom_of_the_crowds.php

crowdsourcing connectivism opinion

shared by Ed Webb on 22 Sep 09 - Cached
  • Wikipedia isn't written and edited by the "crowd" at all. In fact, 1% of Wikipedia users are responsible for half of the site's edits. Even Wikipedia's founder, Jimmy Wales, has been quoted as saying that the site is really written by a community, "a dedicated group of a few hundred volunteers."
  • I think your headline is misleading and Vassilis Kostakos should read the book before poking holes. Surowiecki is very clear about the conditions necessary for a wise crowd to prevail and those conditions are: 1. Diversity of opinion 2. Independence 3. Decentralization 4. Aggregation If your crowd possesses those qualities then it is wise and then it will be better at making decisions under Surowiecki's paradigm. The crowds used in the research (and the crowd in general) doesn't possess those qualities and therefore is an unfit data set. We should be trying to create the ideal crowd before we can obtain superlative results and not try to get good results from any random crowd.
  • Limitations in predictions market are well documented (and include Muhammad's points above), and constrain their practical application to a well-defined number of situation. Crowdsourcing suffers from the same limitations, which is not a problem, as long as you limit its application correspondingly. The problem occur when you stretch it outside the required constraints and yet present the results as "scientific", i.e. as a good proxy for what the crowd thinks. That's what professor Vassilis Kostakos's theory ultimately comes down to (or should - I don't know, I haven't read his report). Apps like Digg or Amazon's review are not scientific applications of crowdsourcing, and thus their results should not be seen as precise representation of our collective thinking.
  • ...3 more annotations...
  • Wisdom of Crowds is a crypto-fascist idea; there is no objective truth, there are no facts, truth is what "the crowd" decides it is. You get these unhealthy echo chambers of "activists" setting the agenda. This article said it best, over three years ago: DIGITAL MAOISM The Hazards of the New Online Collectivism By Jaron Lanier
  • What I'd like to see is non-fakeable metrics on ecommerce sites: return rates or reorder rates (as appropriate), for example. Or for apps, how many times users open the app per day/week or whatever.
  • the research is interesting if linked to ideas of unrepresentative or illiberal democracy, as posited by Fareed Zakaria that suggests small interest groups can hijack democratic systems.
anonymous

Carsonified » Meet @HelloApp, Making Conferences More Fun - 0 views

carsonified.com/...pp-making-conferences-more-fun

i3tools eci831 cck09 i3cs21 twitterapp

shared by anonymous on 22 Sep 09 - Cached
  • anonymous on 22 Sep 09
     
    After four tiring-exciting-stressful-fun days, we'd like to introduce you to our new little buddy, HelloApp. The idea is simple: When you arrive at a conference, you just say where you're sitting, via Twitter. Once you do that, you can … 1. Search for people with a certain skill-set (ie PHP, jQuery, CSS3, marketing, etc) and see where they're sitting 2. View the seating diagram colored based on Twitter follower count 3. Search for a specific person in the audience and find out where they're sitting 4. View the seating diagram colored based on whether people are Designers, Developers or Businessmen 5. Earn badges and points by meeting people and completing tasks. If you earn a high enough rank, you'll be able to post public messages to the entire audience and win prizes.
Ed Webb

International Network for Social Network Analysis - 0 views

www.insna.org/index.html

connectivism connectiveknowledge networks krebs INSNA

shared by Ed Webb on 21 Sep 09 - No Cached
  • Ed Webb on 21 Sep 09
     
    @valdiskrebs suggested this might be of interest to #CCKers. I joined.
Ed Webb

Jimmy Wales: What the MSM Gets Wrong About Wikipedia -- and Why - 0 views

www.huffingtonpost.com/...msm-gets-wrong-a_b_292809.html

wikipedia opinion analysis huffpo

shared by Ed Webb on 21 Sep 09 - Cached
  • I believe that the underlying facts about the Wikipedia phenomenon -- that the general public is actually intelligent, interested in sharing knowledge, interested in getting the facts straight -- are so shocking to most old media people that it is literally impossible for them to report on Wikipedia without following a storyline that goes something like this: "Yeah, this was a crazy thing that worked for awhile, but eventually they will see the light and realize that top-down control is the only thing that works."
Gina Minks

Connectivism glossary - Wikiversity - 0 views

en.wikiversity.org/...Connectivism_glossary

shared by Gina Minks on 19 Sep 09 - Cached
  • how they differ
    • Gina Minks
      Gina Minks on 19 Sep 09
       
      not seeing alot of differences in these terms than sociological terms. I had this same problem last year -- these terms aren't new
    • Christy Tucker
      Christy Tucker on 20 Sep 09
       
      Why is the fact that the terms aren't new create a problem? I guess I'm not seeing the issue with building on existing sociological language if it works.
roland legrand

The Human News Aggregator: An Interview About NewsMastering With Robin Good - 0 views

www.masternewmedia.org/...e_human_news_aggregator_an.htm

rss news newsmasters aggregators newmedia media journalism

shared by roland legrand on 20 Sep 09 - Cached
  • roland legrand on 20 Sep 09
     
    time, but when results do arrive they will be of high value.
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