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	<title>Comments on: Proof that blogging is parasitical on the mainstream media</title>
	<atom:link href="http://sedgemore.com/2009/05/proof-that-blogging-is-parasitical-on-the-mainstream-media/feed/" rel="self" type="application/rss+xml" />
	<link>http://sedgemore.com/2009/05/proof-that-blogging-is-parasitical-on-the-mainstream-media/</link>
	<description>physicist, journalist and science writer</description>
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		<title>By: Links on 12_May_09 &#171; The Centre for Investigative Journalism News Blog</title>
		<link>http://sedgemore.com/2009/05/proof-that-blogging-is-parasitical-on-the-mainstream-media/comment-page-1/#comment-3639</link>
		<dc:creator>Links on 12_May_09 &#171; The Centre for Investigative Journalism News Blog</dc:creator>
		<pubDate>Tue, 12 May 2009 09:39:47 +0000</pubDate>
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		<description>[...] Francis Sedgemore &#8211; Proof that blogging is parasitical on the mainstream media [...]</description>
		<content:encoded><![CDATA[<p>[...] Francis Sedgemore &#8211; Proof that blogging is parasitical on the mainstream media [...]</p>
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		<title>By: Francis Sedgemore</title>
		<link>http://sedgemore.com/2009/05/proof-that-blogging-is-parasitical-on-the-mainstream-media/comment-page-1/#comment-3632</link>
		<dc:creator>Francis Sedgemore</dc:creator>
		<pubDate>Sun, 10 May 2009 18:08:07 +0000</pubDate>
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		<description>It&#039;s not just news, though, is it? Most of the political comment on blogs is reaction (almost always negative) to stuff published in mainstream outlets.</description>
		<content:encoded><![CDATA[<p>It&#8217;s not just news, though, is it? Most of the political comment on blogs is reaction (almost always negative) to stuff published in mainstream outlets.</p>
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		<title>By: SnoopyTheGoon</title>
		<link>http://sedgemore.com/2009/05/proof-that-blogging-is-parasitical-on-the-mainstream-media/comment-page-1/#comment-3631</link>
		<dc:creator>SnoopyTheGoon</dc:creator>
		<pubDate>Sun, 10 May 2009 17:33:20 +0000</pubDate>
		<guid isPermaLink="false">http://sedgemore.com/?p=4313#comment-3631</guid>
		<description>Somehow I don&#039;t doubt the numbers you present. But who said that blogging is about news? I would say that opinions are bloggers&#039; business more then scoops. Frequently these opinions are the opposite of the point made in a mass media source, sometimes they complement it, etc. 

Besides - parasites enjoy the life more and work less. Viva parasites!</description>
		<content:encoded><![CDATA[<p>Somehow I don&#8217;t doubt the numbers you present. But who said that blogging is about news? I would say that opinions are bloggers&#8217; business more then scoops. Frequently these opinions are the opposite of the point made in a mass media source, sometimes they complement it, etc. </p>
<p>Besides &#8211; parasites enjoy the life more and work less. Viva parasites!</p>
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		<title>By: Francis Sedgemore</title>
		<link>http://sedgemore.com/2009/05/proof-that-blogging-is-parasitical-on-the-mainstream-media/comment-page-1/#comment-3629</link>
		<dc:creator>Francis Sedgemore</dc:creator>
		<pubDate>Sun, 10 May 2009 09:30:37 +0000</pubDate>
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		<description>Gadj - there&#039;s a link above (the word &quot;results&quot;) to what looks like a draft journal paper.</description>
		<content:encoded><![CDATA[<p>Gadj &#8211; there&#8217;s a link above (the word &#8220;results&#8221;) to what looks like a draft journal paper.</p>
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		<title>By: Gadjo Dilo</title>
		<link>http://sedgemore.com/2009/05/proof-that-blogging-is-parasitical-on-the-mainstream-media/comment-page-1/#comment-3628</link>
		<dc:creator>Gadjo Dilo</dc:creator>
		<pubDate>Sun, 10 May 2009 05:23:44 +0000</pubDate>
		<guid isPermaLink="false">http://sedgemore.com/?p=4313#comment-3628</guid>
		<description>I currently do text extraction work (a field of computational linguistics) and I&#039;d be interested to see this algorithm. I wonder how many distinct stories they consider are present in these 90 million texts. Granualarity is an issue: if it&#039;s, say, only 6 stories, each one relating to a member of the Royal family, then it could be fairly easy to do (badly)!</description>
		<content:encoded><![CDATA[<p>I currently do text extraction work (a field of computational linguistics) and I&#8217;d be interested to see this algorithm. I wonder how many distinct stories they consider are present in these 90 million texts. Granualarity is an issue: if it&#8217;s, say, only 6 stories, each one relating to a member of the Royal family, then it could be fairly easy to do (badly)!</p>
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