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	<title>Comments on: Week 10 Lifestream Summary</title>
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	<link>https://edc15.education.ed.ac.uk/champton/2015/03/21/week-10-lifestream-summary/</link>
	<description>Just another Education and digital culture 2015 site</description>
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		<title>By: PJ Fameli</title>
		<link>https://edc15.education.ed.ac.uk/champton/2015/03/21/week-10-lifestream-summary/#comment-380</link>
		<dc:creator><![CDATA[PJ Fameli]]></dc:creator>
		<pubDate>Fri, 27 Mar 2015 14:01:07 +0000</pubDate>
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		<description><![CDATA[Clare, good summary of Tweetorial and concluding paragraph. I share your perspective about quality vs. quantity of Tweets. Cheers, PJ]]></description>
		<content:encoded><![CDATA[<p>Clare, good summary of Tweetorial and concluding paragraph. I share your perspective about quality vs. quantity of Tweets. Cheers, PJ</p>
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		<title>By: Clare</title>
		<link>https://edc15.education.ed.ac.uk/champton/2015/03/21/week-10-lifestream-summary/#comment-379</link>
		<dc:creator><![CDATA[Clare]]></dc:creator>
		<pubDate>Fri, 27 Mar 2015 03:44:48 +0000</pubDate>
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		<description><![CDATA[Rather disconcerting that it can be that far out - and that it&#039;s trying to determine gender based on inference rather than fact.]]></description>
		<content:encoded><![CDATA[<p>Rather disconcerting that it can be that far out &#8211; and that it&#8217;s trying to determine gender based on inference rather than fact.</p>
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		<title>By: sbayne</title>
		<link>https://edc15.education.ed.ac.uk/champton/2015/03/21/week-10-lifestream-summary/#comment-378</link>
		<dc:creator><![CDATA[sbayne]]></dc:creator>
		<pubDate>Thu, 26 Mar 2015 16:02:23 +0000</pubDate>
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		<description><![CDATA[That&#039;s interesting Katherine - I&#039;ve been digging around a bit for more on how these things infer gender from social media - it sounds like it&#039;s pretty sketchy and an emergent field using things like first names categorisation, linkage to weblog profiles and text/image processing, so we&#039;ve clearly surfaced something not quite working with Keyhole et al here...  Shiny, convincing new truths must be being made all the time by algorithms that only partly work.]]></description>
		<content:encoded><![CDATA[<p>That&#8217;s interesting Katherine &#8211; I&#8217;ve been digging around a bit for more on how these things infer gender from social media &#8211; it sounds like it&#8217;s pretty sketchy and an emergent field using things like first names categorisation, linkage to weblog profiles and text/image processing, so we&#8217;ve clearly surfaced something not quite working with Keyhole et al here&#8230;  Shiny, convincing new truths must be being made all the time by algorithms that only partly work.</p>
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		<title>By: jdarling</title>
		<link>https://edc15.education.ed.ac.uk/champton/2015/03/21/week-10-lifestream-summary/#comment-377</link>
		<dc:creator><![CDATA[jdarling]]></dc:creator>
		<pubDate>Tue, 24 Mar 2015 15:59:26 +0000</pubDate>
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		<description><![CDATA[&gt;&gt; after more careful analysis I’m not sure that I was any the wiser for it 

I came to the same conclusion.  Looks good but doesn&#039;t deliver anything new.]]></description>
		<content:encoded><![CDATA[<p>&gt;&gt; after more careful analysis I’m not sure that I was any the wiser for it </p>
<p>I came to the same conclusion.  Looks good but doesn&#8217;t deliver anything new.</p>
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		<title>By: Katherine</title>
		<link>https://edc15.education.ed.ac.uk/champton/2015/03/21/week-10-lifestream-summary/#comment-375</link>
		<dc:creator><![CDATA[Katherine]]></dc:creator>
		<pubDate>Sun, 22 Mar 2015 03:03:49 +0000</pubDate>
		<guid isPermaLink="false">http://edc15.education.ed.ac.uk/champton/?p=557#comment-375</guid>
		<description><![CDATA[Hi Claire, I went and did some counting between the Keyhole and Tweet Archivist records. (Assuming both were using the same data...) Actually, the contribution from female participants is more like 36-46% (depending on number of participants or number of tweets). That is nothing like 10%! I don&#039;t know how Keyhole is judging gender (Twitter doesn&#039;t require it to sign up for a new account), but it&#039;s clearly undercounting!]]></description>
		<content:encoded><![CDATA[<p>Hi Claire, I went and did some counting between the Keyhole and Tweet Archivist records. (Assuming both were using the same data&#8230;) Actually, the contribution from female participants is more like 36-46% (depending on number of participants or number of tweets). That is nothing like 10%! I don&#8217;t know how Keyhole is judging gender (Twitter doesn&#8217;t require it to sign up for a new account), but it&#8217;s clearly undercounting!</p>
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