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	<title>Comments on: 3 Applications that Tap Into the Wisdom of Crowds</title>
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	<link>http://flowingdata.com/2008/09/30/3-applications-that-tap-into-the-wisdom-of-crowds/</link>
	<description>Strength in Numbers</description>
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		<title>By: Favorieten en bookmarks voor 12 October tot 13 October &#124; Cafe del Marketing</title>
		<link>http://flowingdata.com/2008/09/30/3-applications-that-tap-into-the-wisdom-of-crowds/#comment-15765</link>
		<dc:creator>Favorieten en bookmarks voor 12 October tot 13 October &#124; Cafe del Marketing</dc:creator>
		<pubDate>Mon, 13 Oct 2008 16:01:45 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1018#comment-15765</guid>
		<description>[...] 3 Applications that Tap Into the Wisdom of Crowds - [...]</description>
		<content:encoded><![CDATA[<p>[...] 3 Applications that Tap Into the Wisdom of Crowds &#8211; [...]</p>
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		<title>By: Bob Carpenter</title>
		<link>http://flowingdata.com/2008/09/30/3-applications-that-tap-into-the-wisdom-of-crowds/#comment-14921</link>
		<dc:creator>Bob Carpenter</dc:creator>
		<pubDate>Tue, 30 Sep 2008 18:06:55 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1018#comment-14921</guid>
		<description>I think some of the most exciting work in this area is being done by Dolores Labs, who publish a &lt;a href=&quot;http://blog.doloreslabs.com/&quot; rel=&quot;nofollow&quot;&gt;great blog&lt;/a&gt; describing their work.

It&#039;s reasonably straightforward to combine answers so that the group consensus is much better than the best individual.  There&#039;s some really promising work Dolores Labs did with the Amazon mechanical Turk along this line, which they describe on their blog and in technical papers.  I&#039;ve been working on Bayesian models for combining such information, as I describe on the &lt;a href=&quot;http://lingpipe-blog.com/2008/09/19/filtering-out-bad-annotators/&quot; rel=&quot;nofollow&quot;&gt;LingPipe blog&lt;/a&gt;.</description>
		<content:encoded><![CDATA[<p>I think some of the most exciting work in this area is being done by Dolores Labs, who publish a <a href="http://blog.doloreslabs.com/" rel="nofollow">great blog</a> describing their work.</p>
<p>It&#8217;s reasonably straightforward to combine answers so that the group consensus is much better than the best individual.  There&#8217;s some really promising work Dolores Labs did with the Amazon mechanical Turk along this line, which they describe on their blog and in technical papers.  I&#8217;ve been working on Bayesian models for combining such information, as I describe on the <a href="http://lingpipe-blog.com/2008/09/19/filtering-out-bad-annotators/" rel="nofollow">LingPipe blog</a>.</p>
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		<title>By: Joao</title>
		<link>http://flowingdata.com/2008/09/30/3-applications-that-tap-into-the-wisdom-of-crowds/#comment-14920</link>
		<dc:creator>Joao</dc:creator>
		<pubDate>Tue, 30 Sep 2008 13:56:03 +0000</pubDate>
		<guid isPermaLink="false">http://flowingdata.com/?p=1018#comment-14920</guid>
		<description>Please, let&#039;s stop confusing what makes systems like Intrade and Wikipedia work with the concept of wisdom of crowds. 

Wisdom of crowds simply reflects the observation that a group of people, when independently consulted, will provide answers that are better than an average single individual. 

Intrade and Wikipedia work because their answers, on the other hand, are better than the *best* consulted individual would be able to provide. 

That is only possible due to a process of selection of information: simplistically, in both Intrade as Wikipedia, the individuals with more expertise in an issue will contribute with more weight to the final decision.</description>
		<content:encoded><![CDATA[<p>Please, let&#8217;s stop confusing what makes systems like Intrade and Wikipedia work with the concept of wisdom of crowds. </p>
<p>Wisdom of crowds simply reflects the observation that a group of people, when independently consulted, will provide answers that are better than an average single individual. </p>
<p>Intrade and Wikipedia work because their answers, on the other hand, are better than the *best* consulted individual would be able to provide. </p>
<p>That is only possible due to a process of selection of information: simplistically, in both Intrade as Wikipedia, the individuals with more expertise in an issue will contribute with more weight to the final decision.</p>
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