{"id":136,"date":"2009-05-31T12:00:24","date_gmt":"2009-05-31T14:30:24","guid":{"rendered":"http:\/\/www.voncoelln.com\/eric\/?p=136"},"modified":"2009-05-31T16:46:52","modified_gmt":"2009-05-31T19:16:52","slug":"different-input-different-results-is-it-real-time-user-sentiment-without-facebook-feeds","status":"publish","type":"post","link":"http:\/\/www.voncoelln.com\/eric\/2009\/05\/31\/different-input-different-results-is-it-real-time-user-sentiment-without-facebook-feeds\/","title":{"rendered":"Different Input, Different Results: Is it Real-Time User Sentiment without Facebook?"},"content":{"rendered":"<p>While I was <a href=http:\/\/www.voncoelln.com\/eric\/2009\/05\/20\/american-idol-and-social-media-a-lovehate-thing\/>blogging about the huge negative sentiment in the number of posts for Adam Lambert just before the American Idol results were announced<\/a>, another company was using much better methodology, but showing a much <i>smaller<\/i> backlash in the making.  <a href=http:\/\/www.crimsonhexagon.com>Crimson Hexagon<\/a> was <a href=http:\/\/bit.ly\/CH_CNN>featured on CNN (link to video)<\/a> and showed true sentiment for the candidates &#8211; a lead for Adam Lambert over Kris Allen on a positive level, and a scant 3% negative impression for Adam Lambert with no real backlash at all for Kris. <\/p>\n<p>Why did I, using a very rudimentary love\/hate modifier with Vitrue\u2019s Social Media Index, see a huge backlash in relative terms for Adam vs Kris while Crimson Hexagon saw a much smaller difference? <\/p>\n<p>For one, my modifiers <i>were<\/i> rudimentary \u2013 there are many more ways to show whether you are strongly for, for, against or strongly against something.  My sample was only a very small slice of the posts out there and the data in the Vitrue Social Media Index (SMI) isn\u2019t designed to show positives and negatives. <\/p>\n<p>But what the SMI <i>does<\/i> appear to have, that Crimson Hexagon does not, is Facebook data.<\/p>\n<p>I\u2019m a big fan of Crimson Hexagon\u2019s methodology to defining user sentiment (<a href=http:\/\/www.voncoelln.com\/eric\/2009\/05\/29\/automating-classification-of-user-sentiment-is-the-key-to-unlocking-social-media\/>see why I think automating post sentiment is such a critical component of managing social media<\/a>).  But without Facebook status and wall feeds as part of its data input, I believe it misses some critical understanding of real-time sentiment among the masses.<\/p>\n<p>Yes, Twitter is part of the micro-blogging component of real-time sentiment, but I don\u2019t think users are as addicted or connected to the medium as they are with Facebook.  In general, I believe you say things among your friends (e.g. among Facebook circle and within the walled garden) that you may not want to broadcast from the top of a hill for all to hear (e.g. Twitter).  I would also argue that Twitter is much more about gathering data (<a href=http:\/\/is.gd\/H95b>their founders mentioned it as more of an info dissemination tool<\/a>) and reading for the great wave of newbies than it is about truly interacting with other users.<\/p>\n<p>Thus to really get a feeling for real-time sentiment, Facebook is a critical component.  I believe lacking the Facebook feeds contributed to Crimson Hexagon&#8217;s negative measures being more muted than what I saw with the Vitrue SMI, and illustrates why marketers need to understand the underlying inputs in any system or technology they choose to leverage to view real-time sentiment.<\/p>\n<div style=\"float: left; margin-right: 10px;\"><a href=\"https:\/\/twitter.com\/share\" class=\"twitter-share-button\" data-count=\"vertical\" data-url=\"http:\/\/www.voncoelln.com\/eric\/2009\/05\/31\/different-input-different-results-is-it-real-time-user-sentiment-without-facebook-feeds\/\">Tweet<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Determining user sentiment can come up with varying results depending on what inputs you use &#8211; and for real-time popular sentiment, including Facebook is key.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32],"tags":[19,45,21],"_links":{"self":[{"href":"http:\/\/www.voncoelln.com\/eric\/wp-json\/wp\/v2\/posts\/136"}],"collection":[{"href":"http:\/\/www.voncoelln.com\/eric\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.voncoelln.com\/eric\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.voncoelln.com\/eric\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/www.voncoelln.com\/eric\/wp-json\/wp\/v2\/comments?post=136"}],"version-history":[{"count":8,"href":"http:\/\/www.voncoelln.com\/eric\/wp-json\/wp\/v2\/posts\/136\/revisions"}],"predecessor-version":[{"id":146,"href":"http:\/\/www.voncoelln.com\/eric\/wp-json\/wp\/v2\/posts\/136\/revisions\/146"}],"wp:attachment":[{"href":"http:\/\/www.voncoelln.com\/eric\/wp-json\/wp\/v2\/media?parent=136"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.voncoelln.com\/eric\/wp-json\/wp\/v2\/categories?post=136"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.voncoelln.com\/eric\/wp-json\/wp\/v2\/tags?post=136"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}