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<oembed>
 <version>1.0</version>
 <type>link</type>
 <provider_name>Rainbow Dash Network</provider_name>
 <provider_url>http://rainbowdash.net/</provider_url>
 <title>Bit Shift (bitshift)'s status on Thursday, 07-Jun-12 04:05:45 UTC</title>
 <author_name>Bit Shift (bitshift)</author_name>
 <author_url>http://rainbowdash.net/bitshift</author_url>
 <url>http://rainbowdash.net/notice/1503684</url>
 <html>@&lt;span class=&quot;vcard&quot;&gt;&lt;a href=&quot;http://rainbowdash.net/user/9619&quot; class=&quot;url&quot; title=&quot;Mike M&quot;&gt;&lt;span class=&quot;fn nickname&quot;&gt;techdisk42&lt;/span&gt;&lt;/a&gt;&lt;/span&gt; Well, @&lt;span class=&quot;vcard&quot;&gt;&lt;a href=&quot;http://rainbowdash.net/user/7201&quot; class=&quot;url&quot; title=&quot;anypony&quot;&gt;&lt;span class=&quot;fn nickname&quot;&gt;anypony&lt;/span&gt;&lt;/a&gt;&lt;/span&gt; itself gets it from &lt;a href=&quot;http://twitter.com/horse_ebooks&quot; title=&quot;http://twitter.com/horse_ebooks&quot; rel=&quot;nofollow external&quot;&gt;twitter.com/horse_ebooks&lt;/a&gt;. As for how that does it; while I don't know the specific method, I'm pretty sure it's based on statistical analysis of word frequency in a sample text, and then generating new text that follows the same patterns. Markov chains are a fairly simple-to-understand example, if you want to look into this more, though I don't think it's the exact variety used by that bot.</html>
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