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	<description>Insight and Opinions on the Fast Changing World of Social Media and Public Relations Research and Measurement</description>
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		<title>Comment on Twitter Influence Tools: Beware of Shiny Objects! by metricsman</title>
		<link>http://metricsman.wordpress.com/2009/11/18/twitter-influence-tools-beware-of-shiny-objects/#comment-2851</link>
		<dc:creator>metricsman</dc:creator>
		<pubDate>Fri, 20 Nov 2009 22:38:42 +0000</pubDate>
		<guid isPermaLink="false">http://metricsman.wordpress.com/?p=236#comment-2851</guid>
		<description>Thanks for stopping by, Mark, and for your kind words.   -Don B</description>
		<content:encoded><![CDATA[<p>Thanks for stopping by, Mark, and for your kind words.   -Don B</p>
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		<title>Comment on Twitter Influence Tools: Beware of Shiny Objects! by Mark Senak</title>
		<link>http://metricsman.wordpress.com/2009/11/18/twitter-influence-tools-beware-of-shiny-objects/#comment-2850</link>
		<dc:creator>Mark Senak</dc:creator>
		<pubDate>Fri, 20 Nov 2009 19:56:23 +0000</pubDate>
		<guid isPermaLink="false">http://metricsman.wordpress.com/?p=236#comment-2850</guid>
		<description>Very nice analysis and very timely for me.  I also Tweeted it.  Thanks. Mark</description>
		<content:encoded><![CDATA[<p>Very nice analysis and very timely for me.  I also Tweeted it.  Thanks. Mark</p>
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		<title>Comment on Twitter Influence Tools: Beware of Shiny Objects! by metricsman</title>
		<link>http://metricsman.wordpress.com/2009/11/18/twitter-influence-tools-beware-of-shiny-objects/#comment-2846</link>
		<dc:creator>metricsman</dc:creator>
		<pubDate>Wed, 18 Nov 2009 23:26:31 +0000</pubDate>
		<guid isPermaLink="false">http://metricsman.wordpress.com/?p=236#comment-2846</guid>
		<description>Hi Mark,
You make an outstanding point about geography and culture being important contextual touchstones.  I was remiss in not mentioning that in my post.  You are, of course, absolutely right about Twitter being primarily U.S.-centric at this point.  Thanks for reminding us to have more of a global perspective, I appreciate it.  
-Don B</description>
		<content:encoded><![CDATA[<p>Hi Mark,<br />
You make an outstanding point about geography and culture being important contextual touchstones.  I was remiss in not mentioning that in my post.  You are, of course, absolutely right about Twitter being primarily U.S.-centric at this point.  Thanks for reminding us to have more of a global perspective, I appreciate it.<br />
-Don B</p>
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		<title>Comment on Twitter Influence Tools: Beware of Shiny Objects! by Mark Pack</title>
		<link>http://metricsman.wordpress.com/2009/11/18/twitter-influence-tools-beware-of-shiny-objects/#comment-2845</link>
		<dc:creator>Mark Pack</dc:creator>
		<pubDate>Wed, 18 Nov 2009 22:47:50 +0000</pubDate>
		<guid isPermaLink="false">http://metricsman.wordpress.com/?p=236#comment-2845</guid>
		<description>I think your contextual point is important. Context is also often related to geography. Knowing who is influential on Twitter (however you define that) is one thing.

Knowing who is influential in your bit of the world if you are outside the US is much more important than knowing that a system dominated by US users overall has US people most influential - surprise.

The Twitter trends are in their own way a good illustration of this problem. They tell us what people in the US are talking about, sometimes what people in the UK are talking about and very rarely what people elsewhere are talking about. There aren&#039;t actually very many uses for getting that mix of information.</description>
		<content:encoded><![CDATA[<p>I think your contextual point is important. Context is also often related to geography. Knowing who is influential on Twitter (however you define that) is one thing.</p>
<p>Knowing who is influential in your bit of the world if you are outside the US is much more important than knowing that a system dominated by US users overall has US people most influential &#8211; surprise.</p>
<p>The Twitter trends are in their own way a good illustration of this problem. They tell us what people in the US are talking about, sometimes what people in the UK are talking about and very rarely what people elsewhere are talking about. There aren&#8217;t actually very many uses for getting that mix of information.</p>
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		<title>Comment on Twitter Influence Tools: Beware of Shiny Objects! by Twitter Influence Tools: Beware of Shiny Objects! « MetricsMan &#124; Twitter Web Blog - Twitter Marketing Tips</title>
		<link>http://metricsman.wordpress.com/2009/11/18/twitter-influence-tools-beware-of-shiny-objects/#comment-2844</link>
		<dc:creator>Twitter Influence Tools: Beware of Shiny Objects! « MetricsMan &#124; Twitter Web Blog - Twitter Marketing Tips</dc:creator>
		<pubDate>Wed, 18 Nov 2009 20:54:51 +0000</pubDate>
		<guid isPermaLink="false">http://metricsman.wordpress.com/?p=236#comment-2844</guid>
		<description>[...] the original post: Twitter Influence Tools: Beware of Shiny Objects! « MetricsMan   Tweet This Or Share Through Other Social [...]</description>
		<content:encoded><![CDATA[<p>[...] the original post: Twitter Influence Tools: Beware of Shiny Objects! « MetricsMan   Tweet This Or Share Through Other Social [...]</p>
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		<title>Comment on Twitter Influence Tools: Beware of Shiny Objects! by metricsman</title>
		<link>http://metricsman.wordpress.com/2009/11/18/twitter-influence-tools-beware-of-shiny-objects/#comment-2842</link>
		<dc:creator>metricsman</dc:creator>
		<pubDate>Wed, 18 Nov 2009 19:32:23 +0000</pubDate>
		<guid isPermaLink="false">http://metricsman.wordpress.com/?p=236#comment-2842</guid>
		<description>David,
Thanks very much for stopping by and leaving a comment.  Sorry about the mini-stats talk - I promise not to do it too often!

Brian,
Thanks very much for commenting.  I&#039;ll look into Klout and let you know what I think.  I doubt my point about these tools will change too much however, measuring influence by proxy - follower count, RTs, posting velocity, etc. really needs to be verified with some true influence research.  Model verification would help me change my mind.   Your blog is outstanding BTW - strong conceptual thinking and very well-written.  

Thanks again, Don B    @donbart</description>
		<content:encoded><![CDATA[<p>David,<br />
Thanks very much for stopping by and leaving a comment.  Sorry about the mini-stats talk &#8211; I promise not to do it too often!</p>
<p>Brian,<br />
Thanks very much for commenting.  I&#8217;ll look into Klout and let you know what I think.  I doubt my point about these tools will change too much however, measuring influence by proxy &#8211; follower count, RTs, posting velocity, etc. really needs to be verified with some true influence research.  Model verification would help me change my mind.   Your blog is outstanding BTW &#8211; strong conceptual thinking and very well-written.  </p>
<p>Thanks again, Don B    @donbart</p>
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		<title>Comment on Twitter Influence Tools: Beware of Shiny Objects! by Brian Solis</title>
		<link>http://metricsman.wordpress.com/2009/11/18/twitter-influence-tools-beware-of-shiny-objects/#comment-2841</link>
		<dc:creator>Brian Solis</dc:creator>
		<pubDate>Wed, 18 Nov 2009 18:10:08 +0000</pubDate>
		<guid isPermaLink="false">http://metricsman.wordpress.com/?p=236#comment-2841</guid>
		<description>Hi Don, thanks for the mention! I&#039;ve been toying with Klout.com over the last few days...was asked to cover them for TechCrunch. They have a very interesting formula for identifying influencers as well as influencers by topic. Would love your thoughts on it. Cheers!</description>
		<content:encoded><![CDATA[<p>Hi Don, thanks for the mention! I&#8217;ve been toying with Klout.com over the last few days&#8230;was asked to cover them for TechCrunch. They have a very interesting formula for identifying influencers as well as influencers by topic. Would love your thoughts on it. Cheers!</p>
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		<title>Comment on Twitter Influence Tools: Beware of Shiny Objects! by David Burk</title>
		<link>http://metricsman.wordpress.com/2009/11/18/twitter-influence-tools-beware-of-shiny-objects/#comment-2839</link>
		<dc:creator>David Burk</dc:creator>
		<pubDate>Wed, 18 Nov 2009 18:00:32 +0000</pubDate>
		<guid isPermaLink="false">http://metricsman.wordpress.com/?p=236#comment-2839</guid>
		<description>This is a very well-thought analysis--it threw me back to stats class when you started to talk about standard deviations and coefficients.   So, I enjoyed it AND I agree wholeheartedly.  Thanks for taking the time to think this through and post!</description>
		<content:encoded><![CDATA[<p>This is a very well-thought analysis&#8211;it threw me back to stats class when you started to talk about standard deviations and coefficients.   So, I enjoyed it AND I agree wholeheartedly.  Thanks for taking the time to think this through and post!</p>
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		<title>Comment on Measuring Influence in Social Media by Chloe Z</title>
		<link>http://metricsman.wordpress.com/2009/06/04/measuring-influence-in-social-media/#comment-2837</link>
		<dc:creator>Chloe Z</dc:creator>
		<pubDate>Tue, 17 Nov 2009 16:13:06 +0000</pubDate>
		<guid isPermaLink="false">http://metricsman.wordpress.com/?p=138#comment-2837</guid>
		<description>Don,
I totally agree with your suggestion that primary research is needed to assess attitudinal changes and subsequent behavior. Actually I just finished my thesis paper on the uses and gratifications of Facebook users, their attitudes towards brands with presence on social media and their behaviors of interacting with those brands on Facebook. The research is based on in-depth interviews with Facebook users. The Result, though not generalizable, shows that our social media efforts don&#039;t turn out the way we want it to be. At least on social networking sites such as Facebook, attitudes towards business profiles and their viral efforts are negative. However, I don&#039;t know how to &quot;quantify&quot; this attitude. Look forward to your future posts on this. 

Thanks! 
Chloe</description>
		<content:encoded><![CDATA[<p>Don,<br />
I totally agree with your suggestion that primary research is needed to assess attitudinal changes and subsequent behavior. Actually I just finished my thesis paper on the uses and gratifications of Facebook users, their attitudes towards brands with presence on social media and their behaviors of interacting with those brands on Facebook. The research is based on in-depth interviews with Facebook users. The Result, though not generalizable, shows that our social media efforts don&#8217;t turn out the way we want it to be. At least on social networking sites such as Facebook, attitudes towards business profiles and their viral efforts are negative. However, I don&#8217;t know how to &#8220;quantify&#8221; this attitude. Look forward to your future posts on this. </p>
<p>Thanks!<br />
Chloe</p>
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		<title>Comment on Five Social Media &amp; PR Measurement Trends to Watch in 2009 by Social media and PR basics &#171; Prgroup10&#39;s Blog</title>
		<link>http://metricsman.wordpress.com/2009/01/08/five-social-media-pr-measurement-trends-to-watch-in-2009/#comment-2836</link>
		<dc:creator>Social media and PR basics &#171; Prgroup10&#39;s Blog</dc:creator>
		<pubDate>Mon, 16 Nov 2009 21:34:44 +0000</pubDate>
		<guid isPermaLink="false">http://metricsman.wordpress.com/?p=79#comment-2836</guid>
		<description>[...] http://metricsman.wordpress.com/2009/01/08/five-social-media-pr-measurement-trends-to-watch-in-2009/ [...]</description>
		<content:encoded><![CDATA[<p>[...] <a href="http://metricsman.wordpress.com/2009/01/08/five-social-media-pr-measurement-trends-to-watch-in-2009/" rel="nofollow">http://metricsman.wordpress.com/2009/01/08/five-social-media-pr-measurement-trends-to-watch-in-2009/</a> [...]</p>
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