Posts Tagged ‘Research’

Brian Honigman is the Social Media Account Manager at LunaMetrics, which you can follow at @LunaMetrics.  Read more about Brian after the article. Have you ever used Quora before to solve an unanswered question or start a conversation about an interesting topic? As a platform, Quora allows its community to post and answer questions about [...]

Join Baratunde Thurston (left), The Onion’s Director of Digital and author of How to Be Black, for an entertaining look at creative social media campaigns in our Social Media Marketing Boot Camp starting February 16. Other speakers include Morin Oluwole (Facebook), Tim Devane (bitly), and SocialTimes' writer Devon Glenn.   Register now.

Unlike the primitive nature associated with Black Friday– stampedes, trampling, and general chaos– modern technological advances such as QR codes, apps, and tablets have given retailers the opportunity to accommodate shoppers from multiple mediums to leave Black Friday without a black eye. A survey conducted by the National Retail Federation revealed that social media and [...]

Social media is an exceptional advertising tool, and alcohol companies have benefitted from increased marketing opportunities, but a new study from the UK suggests youth are being negatively impacted by the combination of social media and alcohol promotion.

You’ve probably seen or read about apps and services that aggregate photos to get multiple perspectives of a single place or event at a place. You may also be familiar with projects that rely on people donating a portion of their computer’s time for massively difficult problems like detecting an extra-terrestrial signal or protein folding. [...]

Juniper Research, in a recent report has projected that the number of mobile instant messaging (IM) users will exceed 1.3 billion by 2016, marking a 300% increase from 2010. The growth is expected to be driven by the continued growth of services like AOL’s AIM, Blackberry Messenger, Microsoft’s Windows Live, Skype and Yahoo! Messenger and [...]

As marketers struggle to define the value of social media to their brands, new Knowledge Networks findings demonstrate that consumers are much more likely to discover new products and brands or refer to social media before making purchase decisions than they were just a year ago. In fact, the purchase decisions of 38 million 13 to 80 year olds in the U.S. are now influenced in various ways by social media — up 14% in just six months.

But that’s not all the research reveals. More, after the jump.

Guest blogger Dr. Taras Zagibalov of Brandwatch addresses criticisms leveled at automatic sentiment analysis used for social media monitoring. Humans, he posits, often struggle to determine the sentiment of a piece of text because, just like the machine, they do not have the relevant knowledge available.

Have current developments in machine analysis improved the process when compared with human analysis? And what of its own, inherent limitations? One perspective — after the jump.

Strategy consulting firm Altman Vilandrie & Company conducted a proof-of-concept study to test if their really may be predictive value to their customers to measure consumer sentiment in social media. The results warrant further exploration of social media as a proxy for actual sentiment. And the study exposed what might be a skew in news media sentiment.

Details after the jump

Brand marketers and agencies engaged in social media are applying social media “intelligence” using offers from a growing number of application and service providers in an increasing differentiated field. Sentiment analysis is just one set of business intelligence vectors we can discover and analyze in social media data.

Now, lets look at some of the sentiment analysis factors brands and agencies should consider when choosing social intelligence platforms.

It probably goes without saying that complete and accurate data make for better analysis. While good data is relatively easy for a brand to obtain from its owned media, assuring the integrity of data from earned, yet-to-be-earned and just plain “in-the-wild” text documents has a higher degree of difficulty.

Twitter data was specifically cited as problematic by several presenters at the Sentiment Analysis Symposium. After the event, I asked some questions of those who are “in the know” about Twitter data to get some clarity on the issue.