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	<title>Comments on: Does Disney know they&#8217;re being hijacked by Twitter spam?</title>
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	<link>http://www.digitalsolid.com/2008/10/07/does-disney-know-theyre-being-hijacked-by-twitter-spam/</link>
	<description>Marketing Technology Musings and Tips by Jeff Larche</description>
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		<title>By: Jeff Collins</title>
		<link>http://www.digitalsolid.com/2008/10/07/does-disney-know-theyre-being-hijacked-by-twitter-spam/comment-page-1/#comment-4800</link>
		<dc:creator>Jeff Collins</dc:creator>
		<pubDate>Sun, 22 Mar 2009 16:14:31 +0000</pubDate>
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		<description>Disney is huge!  I can&#039;t imagine what it must be like to watch over everything that a company that size does.</description>
		<content:encoded><![CDATA[<p>Disney is huge!  I can&#8217;t imagine what it must be like to watch over everything that a company that size does.</p>
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		<title>By: Michael Vezie</title>
		<link>http://www.digitalsolid.com/2008/10/07/does-disney-know-theyre-being-hijacked-by-twitter-spam/comment-page-1/#comment-4534</link>
		<dc:creator>Michael Vezie</dc:creator>
		<pubDate>Wed, 08 Oct 2008 16:52:56 +0000</pubDate>
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		<description>It&#039;s possible they just accessed the public timeline. But I went back through our posts back to Sunday, and found no tweets that could have been in the timeline at the same time.

I had another follower last night, but, looking through the bios of their other friends, found common words in all of ours (&quot;Conservative Christian&quot;), so obviously they searched for &quot;Conservative Christian&quot; and followed who they found (I&#039;ve done that, too). That&#039;s what gave me the idea of finding common words in bios.</description>
		<content:encoded><![CDATA[<p>It&#8217;s possible they just accessed the public timeline. But I went back through our posts back to Sunday, and found no tweets that could have been in the timeline at the same time.</p>
<p>I had another follower last night, but, looking through the bios of their other friends, found common words in all of ours (&#8220;Conservative Christian&#8221;), so obviously they searched for &#8220;Conservative Christian&#8221; and followed who they found (I&#8217;ve done that, too). That&#8217;s what gave me the idea of finding common words in bios.</p>
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		<title>By: Jeff Larche</title>
		<link>http://www.digitalsolid.com/2008/10/07/does-disney-know-theyre-being-hijacked-by-twitter-spam/comment-page-1/#comment-4533</link>
		<dc:creator>Jeff Larche</dc:creator>
		<pubDate>Wed, 08 Oct 2008 15:21:05 +0000</pubDate>
		<guid isPermaLink="false">http://www.digitalsolid.com/?p=573#comment-4533</guid>
		<description>I&#039;d appreciate any analysis you can provide of how I got targeted. A Twitter friend, &lt;a href=&quot;http://www.twitter.com/augieray&quot; target=&quot;new&quot; rel=&quot;nofollow&quot;&gt;@augieray&lt;/a&gt; recently Tweeted about his Orlando vacation, but other than that, I&#039;m at a loss of how I was targeted ... unless it was random.

Thanks for your comment and your insights, Michael!</description>
		<content:encoded><![CDATA[<p>I&#8217;d appreciate any analysis you can provide of how I got targeted. A Twitter friend, <a href="http://www.twitter.com/augieray" target="new" rel="nofollow">@augieray</a> recently Tweeted about his Orlando vacation, but other than that, I&#8217;m at a loss of how I was targeted &#8230; unless it was random.</p>
<p>Thanks for your comment and your insights, Michael!</p>
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		<title>By: Michael Vezie</title>
		<link>http://www.digitalsolid.com/2008/10/07/does-disney-know-theyre-being-hijacked-by-twitter-spam/comment-page-1/#comment-4532</link>
		<dc:creator>Michael Vezie</dc:creator>
		<pubDate>Wed, 08 Oct 2008 12:02:39 +0000</pubDate>
		<guid isPermaLink="false">http://www.digitalsolid.com/?p=573#comment-4532</guid>
		<description>I didn&#039;t know anything about @Disney14 (and didn&#039;t follow their link, which is, I guess, something like tinyurl).

I&#039;ve been trying to track spammers who follow me. I wrote a program that would insert a (friends,followers) note in the announcement email when someone follows me. This to catch the spammers who are following 4577 but only have 34 followers.

My next idea is to query a sampling (or all) of someone&#039;s friends and see if there are any commonalities in the bio fields.</description>
		<content:encoded><![CDATA[<p>I didn&#8217;t know anything about @Disney14 (and didn&#8217;t follow their link, which is, I guess, something like tinyurl).</p>
<p>I&#8217;ve been trying to track spammers who follow me. I wrote a program that would insert a (friends,followers) note in the announcement email when someone follows me. This to catch the spammers who are following 4577 but only have 34 followers.</p>
<p>My next idea is to query a sampling (or all) of someone&#8217;s friends and see if there are any commonalities in the bio fields.</p>
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