<?xml version="1.0" encoding="UTF-8"?> <rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" ><channel><title>Practical Marketing Analytics &#187; Google</title> <atom:link href="http://practicalmarketinganalytics.com/tag/google/feed/" rel="self" type="application/rss+xml" /><link>http://practicalmarketinganalytics.com</link> <description>Better results from better insights</description> <lastBuildDate>Fri, 13 Jan 2012 17:27:48 +0000</lastBuildDate> <language>en</language> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <generator>http://wordpress.org/?v=3.3.1</generator> <item><title>Google Trends and the 2010 Elections &#8211; Can You Use Search Data to Predict Elections?</title><link>http://practicalmarketinganalytics.com/2010/11/google-trends-and-the-2010-elections/</link> <comments>http://practicalmarketinganalytics.com/2010/11/google-trends-and-the-2010-elections/#comments</comments> <pubDate>Thu, 04 Nov 2010 16:14:29 +0000</pubDate> <dc:creator>admin</dc:creator> <category><![CDATA[Industry News]]></category> <category><![CDATA[Search Analytics]]></category> <category><![CDATA[Election Forecasts]]></category> <category><![CDATA[elections]]></category> <category><![CDATA[Google]]></category> <category><![CDATA[Google Trends]]></category> <category><![CDATA[politics]]></category> <category><![CDATA[search]]></category> <category><![CDATA[search data and elections]]></category><guid isPermaLink="false">http://practicalmarketinganalytics.com/?p=648</guid> <description><![CDATA[I am interested in the use of search data to predict and forecast real-world events. One example I have mentioned here before is the Google Flu Project, which uses the volume of searches for flu-related topics to actually do early detection and tracking of flu outbreaks. I thought it might be interesting to see whether [...]]]></description> <content:encoded><![CDATA[<div class="tweetmeme_button" style="float: right; margin-left: 10px;"> <a href="http://api.tweetmeme.com/share?url=http%3A%2F%2Fpracticalmarketinganalytics.com%2F2010%2F11%2Fgoogle-trends-and-the-2010-elections%2F"><br /> <img src="http://api.tweetmeme.com/imagebutton.gif?url=http%3A%2F%2Fpracticalmarketinganalytics.com%2F2010%2F11%2Fgoogle-trends-and-the-2010-elections%2F&amp;style=normal&amp;b=2" height="61" width="50" /><br /> </a></div><p>I am interested in the use of search data to predict and forecast real-world events. One example I have mentioned here before is the Google Flu Project, which uses the volume of searches for flu-related topics to actually do early detection and tracking of flu outbreaks.</p><p>I thought it might be interesting to see whether or not there was anything I could tell about likely election outcomes from the volume of searches related to the Republican and Democratic parties. I did a comparison of the search volumes for &#8220;Republican Party&#8221;, &#8220;Democratic Party&#8221;, and &#8220;Tea Party&#8221; during October 2010, and looked at the same data for October 2008 (leading up to the last presidential election). Interestingly. the major party with the lead in October searches came out the winner in both cases. The Tea Party search volume needs to be explained though &#8211; if the voting followed the search volume completely, then we&#8217;d all be speaking Tea Party-ese now.</p><p><strong>October 2010: </strong><strong>More searches for &#8220;Republican Party&#8221; (the red line) than for &#8220;Democratic Party&#8221; (the blue line)</strong></p><p><a href="http://practicalmarketinganalytics.com/wp-content/uploads/Rep_vs_Dem_vs_Tea.jpg"><img src="http://practicalmarketinganalytics.com/wp-content/uploads/Rep_vs_Dem_vs_Tea.jpg" width=85% align='center'/></a></p><p><strong>October 2008: </strong><strong>More searches for &#8220;Democratic Party&#8221; (the blue line) than for &#8220;Republican Party&#8221; (the red line)</strong></p><p><a href="http://practicalmarketinganalytics.com/wp-content/uploads/Rep_vs_Dem_vs_Tea_2008.jpg"><img src="http://practicalmarketinganalytics.com/wp-content/uploads/Rep_vs_Dem_vs_Tea_2008.jpg" width=85% align='center'/></a></p><p><strong>I KNOW, ELECTIONS ARE ACTUALLY MORE COMPLICATED THAN THAT</strong></p><p>One glaring weakness of my half-hour exploration into election forecasting is that it is hard to imagine prospective voters searching mainly using party names. It is far more likely that candidates&#8217; names and words relating to major issues would be the search terms of interest for predicting election outcomes. That, however, is more work than I would do for a blog post. I encourage anyone reading this to take up the gauntlet and pursue the more detailed view. Let me know how that comes out!</p><p><strong>WHAT ABOUT THE YELLOW LINE?</strong></p><p>Another factor that would have to be dealt with in building a real live election forecasting tool using search data would be the curiosity factor. People don&#8217;t just use search engines to research their voting interests &#8211; they also use them to satisfy their curiosity about topics (and political parties) that are currently in the public eye. That complicates the forecasting problem a bit. How can you tell idle curiosity from actual voting interest? I will have to mull that over&#8230;</p> ]]></content:encoded> <wfw:commentRss>http://practicalmarketinganalytics.com/2010/11/google-trends-and-the-2010-elections/feed/</wfw:commentRss> <slash:comments>45</slash:comments> </item> <item><title>Google Loses Italian Privacy Case</title><link>http://practicalmarketinganalytics.com/2010/02/google-loses-italian-privacy-case/</link> <comments>http://practicalmarketinganalytics.com/2010/02/google-loses-italian-privacy-case/#comments</comments> <pubDate>Wed, 24 Feb 2010 21:23:32 +0000</pubDate> <dc:creator>admin</dc:creator> <category><![CDATA[Industry News]]></category> <category><![CDATA[Google]]></category> <category><![CDATA[Internet]]></category> <category><![CDATA[Italy]]></category> <category><![CDATA[Lawsuit]]></category> <category><![CDATA[Privacy]]></category> <category><![CDATA[User-generated content]]></category> <category><![CDATA[YouTube]]></category><guid isPermaLink="false">http://practicalmarketinganalytics.com/?p=394</guid> <description><![CDATA[For most of us, the recent Amanda Knox murder case was our introduction to the Italian justice system. Well, according to today&#8217;s New York Times article, several Google executives have gotten acquainted with some further nuances. For example, if you host user-generated content, you can be convicted of violating someone&#8217;s privacy if an upload to [...]]]></description> <content:encoded><![CDATA[<div class="tweetmeme_button" style="float: right; margin-left: 10px;"> <a href="http://api.tweetmeme.com/share?url=http%3A%2F%2Fpracticalmarketinganalytics.com%2F2010%2F02%2Fgoogle-loses-italian-privacy-case%2F"><br /> <img src="http://api.tweetmeme.com/imagebutton.gif?url=http%3A%2F%2Fpracticalmarketinganalytics.com%2F2010%2F02%2Fgoogle-loses-italian-privacy-case%2F&amp;style=normal&amp;b=2" height="61" width="50" /><br /> </a></div><p><a href="http://practicalmarketinganalytics.com/wp-content/uploads/ItalyStandingOnGoogle.JPG"><img src="http://practicalmarketinganalytics.com/wp-content/uploads/ItalyStandingOnGoogle.jpg" width=35% align=right/></a></p><p>For most of us, the recent Amanda Knox murder case was our introduction to the Italian justice system. Well, according to today&#8217;s <strong><a href="http://www.nytimes.com/2010/02/25/technology/companies/25google.html?emc=eta1">New York Times article</a></strong>, several Google executives have gotten acquainted with some further nuances. For example, if you host user-generated content, you can be convicted of violating someone&#8217;s privacy if an upload to your site violates it &#8211; even if you cooperate with Italian authorities in the removal of the objectionable content and identification of the culprits.</p><p>This is a serious threat to the open sharing of information that has driven the web&#8217;s rapid adoption and growth. To force sites like YouTube to do prior filtering and checking would impose a huge burden on such sites, and could alter the viability of their business model. Worse, though, legislation purporting to protect the citizens of Italy could instead result in robbing them of free access to the web and all its unpredictable and messy usefulness. If the world ends up divided between net-freedom-haves and net-freedom-have-nots, Italy could end up on the same side of that line as China. That is not the side I&#8217;d choose to live on, no matter how good the wine and cheese are.</p> ]]></content:encoded> <wfw:commentRss>http://practicalmarketinganalytics.com/2010/02/google-loses-italian-privacy-case/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> </channel> </rss>
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