<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	>
<channel>
	<title>Comments on: Ron Livingston, Wikipedia, Google, and the Sourness of Grapes</title>
	<atom:link href="http://wikipediareview.com/blog/20091230/ron-livingston-wikipedia-google-and-the-sourness-of-grapes/feed/" rel="self" type="application/rss+xml" />
	<link>http://wikipediareview.com/blog/20091230/ron-livingston-wikipedia-google-and-the-sourness-of-grapes/</link>
	<description>It's only a website... it's only a website...</description>
	<pubDate>Wed, 08 Sep 2010 17:05:02 +0000</pubDate>
	<generator>http://wordpress.org/?v=abc</generator>
		<item>
		<title>By: Somey</title>
		<link>http://wikipediareview.com/blog/20091230/ron-livingston-wikipedia-google-and-the-sourness-of-grapes/#comment-2124</link>
		<dc:creator>Somey</dc:creator>
		<pubDate>Thu, 31 Dec 2009 17:40:06 +0000</pubDate>
		<guid isPermaLink="false">http://wikipediareview.com/blog/?p=310#comment-2124</guid>
		<description>HOORAY! It's about time! You don't think they read this blog entry, do you? Naaah, impossible...

Anyway, I considered the possibility you mentioned, and for that reason I flipped the original photo horizontally, cropped it, and adjusted the color - the only way they would have been able to associate it with the original(s) would have been to eyeball it, and the likelihood of them doing that is negligible. For a while I thought they might have a "flesh-tone percentage" algorithm that dings photos automatically if there's too much nakedness, but they wouldn't risk the PR fallout from something like that, even if they are the World's Most Powerful Internet Company... anyway, these new results suggest that wasn't the case regardless.

Thanks for the positive feedback, btw! You write real good too, of course, on Akahele.org.</description>
		<content:encoded><![CDATA[<p>HOORAY! It&#8217;s about time! You don&#8217;t think they read this blog entry, do you? Naaah, impossible&#8230;</p>
<p>Anyway, I considered the possibility you mentioned, and for that reason I flipped the original photo horizontally, cropped it, and adjusted the color - the only way they would have been able to associate it with the original(s) would have been to eyeball it, and the likelihood of them doing that is negligible. For a while I thought they might have a &#8220;flesh-tone percentage&#8221; algorithm that dings photos automatically if there&#8217;s too much nakedness, but they wouldn&#8217;t risk the PR fallout from something like that, even if they are the World&#8217;s Most Powerful Internet Company&#8230; anyway, these new results suggest that wasn&#8217;t the case regardless.</p>
<p>Thanks for the positive feedback, btw! You write real good too, of course, on Akahele.org.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Gregory Kohs</title>
		<link>http://wikipediareview.com/blog/20091230/ron-livingston-wikipedia-google-and-the-sourness-of-grapes/#comment-2123</link>
		<dc:creator>Gregory Kohs</dc:creator>
		<pubDate>Thu, 31 Dec 2009 15:01:25 +0000</pubDate>
		<guid isPermaLink="false">http://wikipediareview.com/blog/?p=310#comment-2123</guid>
		<description>Somey, this was an excellent piece.  You have a real talent for summing up complex situations into a compelling narrative.  Hard to believe you're just an IT systems developer, or whatever it is that you are "in real life".

Anyway, the only item that I wish to add here is a theory about why the "fat man in 'tighty whiteys' captioned 'Lee Dennison'" may not have shown up in Google Image searches.  I presume that the photo used is a popular meme on other, less-reputable sites.  Google may have it flagged as a "trouble" point, and has customized its algorithms to proceed more carefully when that specific image is duplicated across the Internet.

You may have needed to have a truly unique, new photo -- or at least a much more rarely disseminated photo -- to represent Lee Dennison, in order for Google to have picked it up.  That's just my speculation; I don't have any data to back it up.

Oh, wait!  I just checked Google Images again, and THERE HE IS, in the #2 slot!

http://images.google.com/images?hl=en&#38;q=lee+dennison&#38;sourceid=navclient-ff&#38;rlz=1B3GGGL_enUS351US351&#38;um=1&#38;ie=UTF-8&#38;ei=jLw8S5f4EcKplAfkpqyXBw&#38;sa=X&#38;oi=image_result_group&#38;ct=title&#38;resnum=1&#38;ved=0CBAQsAQwAA</description>
		<content:encoded><![CDATA[<p>Somey, this was an excellent piece.  You have a real talent for summing up complex situations into a compelling narrative.  Hard to believe you&#8217;re just an IT systems developer, or whatever it is that you are &#8220;in real life&#8221;.</p>
<p>Anyway, the only item that I wish to add here is a theory about why the &#8220;fat man in &#8216;tighty whiteys&#8217; captioned &#8216;Lee Dennison&#8217;&#8221; may not have shown up in Google Image searches.  I presume that the photo used is a popular meme on other, less-reputable sites.  Google may have it flagged as a &#8220;trouble&#8221; point, and has customized its algorithms to proceed more carefully when that specific image is duplicated across the Internet.</p>
<p>You may have needed to have a truly unique, new photo &#8212; or at least a much more rarely disseminated photo &#8212; to represent Lee Dennison, in order for Google to have picked it up.  That&#8217;s just my speculation; I don&#8217;t have any data to back it up.</p>
<p>Oh, wait!  I just checked Google Images again, and THERE HE IS, in the #2 slot!</p>
<p><a href="http://images.google.com/images?hl=en&amp;q=lee+dennison&amp;sourceid=navclient-ff&amp;rlz=1B3GGGL_enUS351US351&amp;um=1&amp;ie=UTF-8&amp;ei=jLw8S5f4EcKplAfkpqyXBw&amp;sa=X&amp;oi=image_result_group&amp;ct=title&amp;resnum=1&amp;ved=0CBAQsAQwAA" rel="nofollow">http://images.google.com/images?hl=en&amp;q=lee+dennison&amp;sourceid=navclient-ff&amp;rlz=1B3GGGL_enUS351US351&amp;um=1&amp;ie=UTF-8&amp;ei=jLw8S5f4EcKplAfkpqyXBw&amp;sa=X&amp;oi=image_result_group&amp;ct=title&amp;resnum=1&amp;ved=0CBAQsAQwAA</a></p>
]]></content:encoded>
	</item>
</channel>
</rss>
