Mashable mash the stats! |
|
Looking through Twitter this evening there was a link by Mashable to a report which stated "Mashable is more influential than CNN"
And it was true the report did state that in the opening summary... BUT they failed to point out that CNN had two channels... CNN Breaking News and another less popular CNN... mind you, what can you do with just 140 characters! I guess it is fair to assume, without researching CNN, that Breaking News is the latest, read all about it channel and CNN is more slow running, documentary style, more detailed news. It would appear the CNN news get spread wider... so less readers who like to tell more folk... lot's to take in. Since Twitter is for 140 character speed links then it is likely to attract the fast and the furious... so Breaking News will have more readers on Twitter than its sister channel... although it may not be the most popular on a global, all media basis. What was jolly pleasing to read amongst the comments from readers of the report was one by http://twitter.com/Tynan_on_Tech He suggests... It's really all how you parse the data. Here are some of the conclusions we've drawn from this report: * Geeks with glasses have more influence than males with mullets, but less influence than hotties with hooters. * Justine Ezarik (@iJustine) is waaaay hotter than Robert Scoble (@Scobleizer) but less likely to put out on the first date. * You can get funding for practically any kind of research. All you have to do is fill out a form. Who knew it was that easy? For more insightful conclusions click here Marvellous... on the 4th June 2008 I launched the concept of "Twitter Wholemeal Activity Threshold" based on people being stronger and more influential by having way more followers than followees ... Took me 10 minutes... what can I say... I am trying out my own Twitter exercise at the moment. Enjoy the full report discussed above and draw your own conclusions by clicking on the link below... Web Ecology Project Researching Quantized Social Interaction The Influentials New Approaches for Analyzing Influence on Twitter by Alex Leavitt with Evan Burchard, David Fisher, & Sam Gilbert Summary of Findings An analysis of our methodology and statistics suggests that on Twitter, among various configurable conclusions: Read the report |
|
Hello, thank you for taking the time to visit and read this page. If you feel it is relevant, please share with your contacts. Thank you. |
|
|