{"id":4270,"date":"2010-08-13T11:39:51","date_gmt":"2010-08-13T10:39:51","guid":{"rendered":"http:\/\/blog.uk.cision.com\/?p=1210"},"modified":"2010-08-13T11:39:51","modified_gmt":"2010-08-13T11:39:51","slug":"social-media-popularity-social-media-influence","status":"publish","type":"post","link":"https:\/\/www.vuelio.com\/uk\/blog\/social-media-popularity-social-media-influence\/","title":{"rendered":"Social media popularity, social media influence"},"content":{"rendered":"<p>Earlier this week, the web was in thrall to the story of <a href=\"http:\/\/thechive.com\/2010\/08\/10\/girl-quits-her-job-on-dry-erase-board-emails-entire-office-33-photos\/\" target=\"_self\">a girl who had quit her job by posting 33 pictures of herself<\/a> in which she told her boss exactly what she thought of him. In <a href=\"http:\/\/www.nevillehobson.com\/2010\/08\/11\/measure-your-fame-in-tweets-and-likes\/\" target=\"_self\">his analysis of the &#8220;dry erase girl&#8221; hoax<\/a>, Neville Hobson asked the question: &#8220;Who said social media doesn&#8217;t have influence? Or is it popularity?&#8221;<\/p>\n<p>Hobson&#8217;s assessment of influence\/popularity was based on the number of Facebook likes and tweets (238,000 and 31,000 respectively) the original &#8220;dry erase girl&#8221; post received. Clearly these units measure\u00a0<em>something<\/em>. But what?<\/p>\n<p>HP Labs last week published <a href=\"http:\/\/h30507.www3.hp.com\/t5\/Data-Central\/What-makes-a-tweet-influential-New-HP-Labs-social-media-research\/ba-p\/81855\" target=\"_self\">the findings of new research<\/a> into what it calls &#8220;influence and passivity in social media&#8221; that made an explicit attempt to separate the concept of \u201cinfluence\u201d from \u201cpopularity.\u201d \u00a0As they say,<\/p>\n<p style=\"padding-left: 30px\">While a user on Twitter may have a large number of followers, his or her influence is more strongly associated with their engagement with the network, rather than the raw number of followers or retweets.<\/p>\n<p style=\"text-align: left\">As such,\u00a0the authors devised an algorithm to assign a relative influence score and passivity score to every user, with\u00a0\u201cpassivity\u201d a measure of &#8220;how difficult it is for other users to influence him or her&#8221; &#8211; in short, how likely they are to retweet relative to everybody else.<\/p>\n<p>HP&#8217;s approach makes intuitive sense, and the researchers say the model outperforms &#8220;several others that do not explicitly take user passivity into account&#8221;. Even so, it can only serve as starting point. For one thing, it&#8217;s only looking at Twitter, a platform whose 140-character limitations and transparency make it unusually approachable for those measuring network dynamics.<\/p>\n<p><a href=\"http:\/\/klout.com\/\" target=\"_self\">Klout<\/a>, recently integrated with our own <a href=\"http:\/\/journalisttweets.com\/\" target=\"_self\">JournalistTweets<\/a>, makes some attempt to include data from other online networks. The newly launched <a href=\"http:\/\/www.peerindex.net\/\" target=\"_self\">PeerIndex<\/a> also claims to include data from other platforms, but its real innovation is in identifying which influencers are influential for a particular topic.<\/p>\n<p>Both of these elements are essential to a thorough understanding social media influence &#8211; but there are still many missing ingredients. How, for example, to represent the capacity <a href=\"https:\/\/www.vuelio.com\/uk\/2010\/08\/facebooks-news-feed-algorithm-and-digital-influence\/\" target=\"_self\">to spread a message through Facebook&#8217;s News Feed<\/a>?<\/p>\n<p>Given the proliferation of new online platforms over the past decade &#8211; only slowed, not stemmed, by recent macroeconomic conditions &#8211; it seems inevitable that there will never be a complete model for online influence. But that isn&#8217;t to rule out successful predictive models, and the work by HP Labs gives us a strong push in the right direction.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Earlier this week, the web was in thrall to the story of a girl who had quit her job by posting 33 pictures of herself in which she told her boss exactly what she thought &#8230;<\/p>\n","protected":false},"author":289,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[3526],"tags":[77,99,463,2997],"_links":{"self":[{"href":"https:\/\/www.vuelio.com\/uk\/wp-json\/wp\/v2\/posts\/4270"}],"collection":[{"href":"https:\/\/www.vuelio.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.vuelio.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.vuelio.com\/uk\/wp-json\/wp\/v2\/users\/289"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vuelio.com\/uk\/wp-json\/wp\/v2\/comments?post=4270"}],"version-history":[{"count":0,"href":"https:\/\/www.vuelio.com\/uk\/wp-json\/wp\/v2\/posts\/4270\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.vuelio.com\/uk\/wp-json\/wp\/v2\/media?parent=4270"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.vuelio.com\/uk\/wp-json\/wp\/v2\/categories?post=4270"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.vuelio.com\/uk\/wp-json\/wp\/v2\/tags?post=4270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}