Cutting Through the Noise
Wednesday, March 14, 2012 at 10:37AM 
By Elizabeth Ballard, Director
The media landscape has changed dramatically since CARMA was founded in 1984, when print media ruled and the phrase "online news aggregator" had yet to be spoken. As one would expect, over the past few years, we have received a major uptick in requests for social media measurement and analysis. The social media universe is a difficult beast to conquer, primarily because of the massive amount of content produced daily on social media platforms. However, it is an important slice of the media landscape, and it should be taken seriously.
Photo Credit: Jose Mourinho / centroacademicoAs CARMA began to research and analyze social media, we noticed that a large portion of the content out there was spam and useless for analytical purposes. Blog posts made up of random lists of words were pulled into content sets that search engines considered relevant. Twitter posts were coming from accounts with no human behind the tweets. (Indeed, a recent ZDNet article concluded that “in some anecdotal cases, the number of [Facebook, Twitter, Google] users, active and actual, could be as small as one-third. And nearly one-half of user accounts could be fake or contain no user profiles.”) CARMA analysts, able to quickly recognize spam from real human generated content, easily can weed out the junk and instead focus on the blog posts and tweets that provide relevant and measureable substance.
You can settle for a completely automated offering, but know that much of the data coming from such tools is spam and results in inaccurate and flawed metrics. For a quick snapshot or daily updates about what is going in the blogosphere or Twitterverse, automated engines are effective. But to gain true actionable insights from social media content, investing in a process that utilizes human expertise to recognize and distinguish substantive and relevant content is the best and most reliable way to go. Furthermore, to get a real understanding of the media landscape, you need an analytical methodology that reflects how media is consumed. Consumers in the information age filter their content and tailor their online experiences and your media analysts should do the same.







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