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	<title>Comments on: Gender Bias: A Twitter Folly?</title>
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	<link>http://blogs.law.harvard.edu/fireunderembers/2009/06/02/gender-bias-a-twitter-folly/</link>
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		<title>By: Acetylene Torch Basics</title>
		<link>http://blogs.law.harvard.edu/fireunderembers/2009/06/02/gender-bias-a-twitter-folly/comment-page-1/#comment-303</link>
		<dc:creator>Acetylene Torch Basics</dc:creator>
		<pubDate>Fri, 27 Nov 2009 07:23:21 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.law.harvard.edu/fireunderembers/?p=39#comment-303</guid>
		<description>Twitter is nice in this year.</description>
		<content:encoded><![CDATA[<p>Twitter is nice in this year.</p>
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		<title>By: Galego</title>
		<link>http://blogs.law.harvard.edu/fireunderembers/2009/06/02/gender-bias-a-twitter-folly/comment-page-1/#comment-225</link>
		<dc:creator>Galego</dc:creator>
		<pubDate>Wed, 09 Sep 2009 16:20:26 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.law.harvard.edu/fireunderembers/?p=39#comment-225</guid>
		<description>What can twitter do for you?</description>
		<content:encoded><![CDATA[<p>What can twitter do for you?</p>
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		<title>By: Sam Logan</title>
		<link>http://blogs.law.harvard.edu/fireunderembers/2009/06/02/gender-bias-a-twitter-folly/comment-page-1/#comment-177</link>
		<dc:creator>Sam Logan</dc:creator>
		<pubDate>Sat, 15 Aug 2009 00:00:28 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.law.harvard.edu/fireunderembers/?p=39#comment-177</guid>
		<description>Interesting article. There is a study here (http://blogs.harvardbusiness.org/cs/2009/06/new_twitter_research_men_follo.html) on gender trends on twitter. Worth looking at..</description>
		<content:encoded><![CDATA[<p>Interesting article. There is a study here (<a href="http://blogs.harvardbusiness.org/cs/2009/06/new_twitter_research_men_follo.html" rel="nofollow">http://blogs.harvardbusiness.org/cs/2009/06/new_twitter_research_men_follo.html</a>) on gender trends on twitter. Worth looking at..</p>
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		<title>By: Zachary Tumin</title>
		<link>http://blogs.law.harvard.edu/fireunderembers/2009/06/02/gender-bias-a-twitter-folly/comment-page-1/#comment-105</link>
		<dc:creator>Zachary Tumin</dc:creator>
		<pubDate>Fri, 05 Jun 2009 13:07:19 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.law.harvard.edu/fireunderembers/?p=39#comment-105</guid>
		<description>I have always been intrigued by these same questions, Shuying, and esp #3. We do get cues from the photos and names, and stripped of those we may have different proclivities to follow. That would be a great experiment to run - couple of groups, same twitter content, different avatars. That would give you insight into how gender, race, age play into the decision to follow. But you&#039;d still need to parse it into a variety of other follow behaviors as those factors will have greater or lesser salience, I&#039;m guessing, depending on the vectors - that is, how the decision to follow is framed/the choice as presented initially.</description>
		<content:encoded><![CDATA[<p>I have always been intrigued by these same questions, Shuying, and esp #3. We do get cues from the photos and names, and stripped of those we may have different proclivities to follow. That would be a great experiment to run &#8211; couple of groups, same twitter content, different avatars. That would give you insight into how gender, race, age play into the decision to follow. But you&#8217;d still need to parse it into a variety of other follow behaviors as those factors will have greater or lesser salience, I&#8217;m guessing, depending on the vectors &#8211; that is, how the decision to follow is framed/the choice as presented initially.</p>
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		<title>By: Zachary Tumin</title>
		<link>http://blogs.law.harvard.edu/fireunderembers/2009/06/02/gender-bias-a-twitter-folly/comment-page-1/#comment-104</link>
		<dc:creator>Zachary Tumin</dc:creator>
		<pubDate>Fri, 05 Jun 2009 13:04:13 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.law.harvard.edu/fireunderembers/?p=39#comment-104</guid>
		<description>Laura - That&#039;s an interesting suggestion - I&#039;m betting there&#039;s good research on how people perceive the &quot;gender&quot; of brands. And your suggestion that the behavior of women vs men could be explained by underlying rational vs (implicitly) biased gender-based behavior is a great insight. Many thanks for that.</description>
		<content:encoded><![CDATA[<p>Laura &#8211; That&#8217;s an interesting suggestion &#8211; I&#8217;m betting there&#8217;s good research on how people perceive the &#8220;gender&#8221; of brands. And your suggestion that the behavior of women vs men could be explained by underlying rational vs (implicitly) biased gender-based behavior is a great insight. Many thanks for that.</p>
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		<title>By: Zachary Tumin</title>
		<link>http://blogs.law.harvard.edu/fireunderembers/2009/06/02/gender-bias-a-twitter-folly/comment-page-1/#comment-103</link>
		<dc:creator>Zachary Tumin</dc:creator>
		<pubDate>Fri, 05 Jun 2009 13:02:13 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.law.harvard.edu/fireunderembers/?p=39#comment-103</guid>
		<description>That&#039;s interesting, Bill, and another factor worth noting - how &quot;newbie&quot; vs. &quot;veteran&quot; status might affect the follow/no-follow decision. It may have little or a lot of salience -  I notice, for example, some veterans following everyone who follow them; and some who follow no one; but of course a &quot;newbie&quot; strategy is to follow as many as possible in the hopes of being followed back. These &quot;follow vectors&quot; have many factors going on; gender could be one, but the decision to follow is complicated and not easily explained by appealing to it. Thanks for your note.</description>
		<content:encoded><![CDATA[<p>That&#8217;s interesting, Bill, and another factor worth noting &#8211; how &#8220;newbie&#8221; vs. &#8220;veteran&#8221; status might affect the follow/no-follow decision. It may have little or a lot of salience &#8211;  I notice, for example, some veterans following everyone who follow them; and some who follow no one; but of course a &#8220;newbie&#8221; strategy is to follow as many as possible in the hopes of being followed back. These &#8220;follow vectors&#8221; have many factors going on; gender could be one, but the decision to follow is complicated and not easily explained by appealing to it. Thanks for your note.</p>
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		<title>By: Zachary Tumin</title>
		<link>http://blogs.law.harvard.edu/fireunderembers/2009/06/02/gender-bias-a-twitter-folly/comment-page-1/#comment-102</link>
		<dc:creator>Zachary Tumin</dc:creator>
		<pubDate>Fri, 05 Jun 2009 12:56:27 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.law.harvard.edu/fireunderembers/?p=39#comment-102</guid>
		<description>Fire EXIT: The juxtaposition in your post creates the right kind of dialogue on this issue.</description>
		<content:encoded><![CDATA[<p>Fire EXIT: The juxtaposition in your post creates the right kind of dialogue on this issue.</p>
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		<title>By: Bill Smith</title>
		<link>http://blogs.law.harvard.edu/fireunderembers/2009/06/02/gender-bias-a-twitter-folly/comment-page-1/#comment-98</link>
		<dc:creator>Bill Smith</dc:creator>
		<pubDate>Thu, 04 Jun 2009 20:23:26 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.law.harvard.edu/fireunderembers/?p=39#comment-98</guid>
		<description>I would offer a one feed anecdotal rejoinder: my sense is followers are more balanced after the initial start.  This is based on operating the official University of Arkansas athletic department feed (@ArkRazorbacks).  Once we got out of the first 200-300 followers -- which were decidedly male -- I have noticed as we have broaden into a &quot;mainstream&quot; of more Razorback fans joining I am seeing at least 50-50, if not slightly more female, followers joining the list.

This may be my own bias in trying to find a vehicle more open to both gender&#039;s participation to broaden our base, but when compared to the traditional participatory media (message boards, old school full blogs with comment) there is a vastly higher number of women willing to follow.  A typical message board might be 90-10 (even 95-5) on female identification (again, I will go with the point made that many women will avoid gender identity).

If we are even running at the 70-30 mentioned, that&#039;s significant in my corner of the world.

Just some thoughts.</description>
		<content:encoded><![CDATA[<p>I would offer a one feed anecdotal rejoinder: my sense is followers are more balanced after the initial start.  This is based on operating the official University of Arkansas athletic department feed (@ArkRazorbacks).  Once we got out of the first 200-300 followers &#8212; which were decidedly male &#8212; I have noticed as we have broaden into a &#8220;mainstream&#8221; of more Razorback fans joining I am seeing at least 50-50, if not slightly more female, followers joining the list.</p>
<p>This may be my own bias in trying to find a vehicle more open to both gender&#8217;s participation to broaden our base, but when compared to the traditional participatory media (message boards, old school full blogs with comment) there is a vastly higher number of women willing to follow.  A typical message board might be 90-10 (even 95-5) on female identification (again, I will go with the point made that many women will avoid gender identity).</p>
<p>If we are even running at the 70-30 mentioned, that&#8217;s significant in my corner of the world.</p>
<p>Just some thoughts.</p>
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		<title>By: Gender Bias? &#171; Fire EXIT</title>
		<link>http://blogs.law.harvard.edu/fireunderembers/2009/06/02/gender-bias-a-twitter-folly/comment-page-1/#comment-97</link>
		<dc:creator>Gender Bias? &#171; Fire EXIT</dc:creator>
		<pubDate>Thu, 04 Jun 2009 16:11:17 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.law.harvard.edu/fireunderembers/?p=39#comment-97</guid>
		<description>[...] Gender Bias: A Twitter Folly?  There’s a claim made by researchers at Harvard Business School that men are followed disproportionately on Twitter. That may be true on a straightline basis. But there may be more &#8211; or less — here than the authors make out. The fact is, we can’t tell yet. [...]</description>
		<content:encoded><![CDATA[<p>[...] Gender Bias: A Twitter Folly?  There’s a claim made by researchers at Harvard Business School that men are followed disproportionately on Twitter. That may be true on a straightline basis. But there may be more &#8211; or less — here than the authors make out. The fact is, we can’t tell yet. [...]</p>
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		<title>By: Laura Lee Dooley</title>
		<link>http://blogs.law.harvard.edu/fireunderembers/2009/06/02/gender-bias-a-twitter-folly/comment-page-1/#comment-96</link>
		<dc:creator>Laura Lee Dooley</dc:creator>
		<pubDate>Thu, 04 Jun 2009 11:43:09 +0000</pubDate>
		<guid isPermaLink="false">http://blogs.law.harvard.edu/fireunderembers/?p=39#comment-96</guid>
		<description>Thanks for highlighting this report. Here are my 2 cents - 

1. My initial reaction to all of  this is similar to Shuying&#039;s first thought - what about brands on twitter? Are they considered male/female or neuter? Wouldn&#039;t it be interesting to do a study on how/if people perceive a gender of brands?

2. As a woman, I agree with the idea that women may &quot;have more stringent thresholds for reciprocating relationships.&quot; Since the early days of the internet, we have been warned to be smart about who we connect with online. This may also account for the report&#039;s suggestion that &quot;men [may] find the content produced by women less compelling (because of a lack of photo sharing, detailed biographies, etc.).&quot; 

Again, thanks for sharing your thoughts on this study!</description>
		<content:encoded><![CDATA[<p>Thanks for highlighting this report. Here are my 2 cents &#8211; </p>
<p>1. My initial reaction to all of  this is similar to Shuying&#8217;s first thought &#8211; what about brands on twitter? Are they considered male/female or neuter? Wouldn&#8217;t it be interesting to do a study on how/if people perceive a gender of brands?</p>
<p>2. As a woman, I agree with the idea that women may &#8220;have more stringent thresholds for reciprocating relationships.&#8221; Since the early days of the internet, we have been warned to be smart about who we connect with online. This may also account for the report&#8217;s suggestion that &#8220;men [may] find the content produced by women less compelling (because of a lack of photo sharing, detailed biographies, etc.).&#8221; </p>
<p>Again, thanks for sharing your thoughts on this study!</p>
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