The use of social media has grown exponentially over the last several years. In fact, most television programs and televised advertising have a social media component, designed to expand reach and engagement with the audience. To date, the tobacco control community has relied on traditional media—paid television, radio, billboard and print media advertising—to promote their messages. On March 19, 2012, the Centers for Disease Control and Prevention (CDC) launched Tips from Former Smokers. This campaign was the CDC’s largest anti-smoking campaign ever and its first national advertising effort. The campaign will last four months and consist of both traditional and social media. The Health Media Collaboratory at the University of Illinois at Chicago, directed by Sherry Emery, PhD, will measure and evaluate a key social media component of the campaign—its Twitter reach and impact. Using DiscoverText with GNIP’s PowerTrack provides full access to Twitter’s Firehose. This is in contrast to Twitter’s publicly available API stream, which provides only a 1% sample of tweets. Because the volume of tweets for health social media campaigns are relatively low, every tweet matters. Access to GNIP’s premium Twitter feed allows us to capture all tweets and metadata for the campaign. The use of DiscoverText to sift through tweets and code for content provides a useful tool for measuring online public engagement, audience sentiment, and campaign discourse. The Collaboratory will report on the overall reach and audience engagement of the campaign through an analysis of unique users reached, number of retweets, and mentions. This information will not only track the engagement of individual users but also measure the engagement of state tobacco control programs in the campaign. A sentiment analysis will be conducted on tweets to gauge the emotional valence of the campaign and individual television ads. Finally, using root keywords for quitting and smoking uptake, the numbers of Twitter users that express interest in quitting or prevention will be reported. For more information about this project, visit the UIC Health Media Collaboratory website or follow @GLENszczypka for updates. Research funded by the National Cancer Institute (Grant No. 1U01CA154254).
This is Version 1 of the 60-second Texifter elevator pitch . Feedback and questions are truly welcome. Just email email@example.com . ~Thanks!
Check out this video introducing our latest experiments creating custom social “sifters” to winnow down a lake of social media data and leave behind only those items that are truly responsive to your search. Great tool, or greatest tool ever? You be the judge.
We asked folks signing up for the 2nd GNIP beta using DiscoverText why they were doing it. Here is a nice Wordle showing some of the common themes: We also asked for job titles. No surprise the professors lead the w ay. The sign up remains open. Jump in and let us know if you like our Enterprise solution for social media analytics.
Texifter is launching a second beta test period using “Power Track for Twitter” fire hose filtering a service provided by GNIP. We have streamlined the process of providing Enterprise class access to the beta test. This beta includes access to an expanding set of tools for archiving, filtering, coding, validating and machine classifying text. You can train a custom machine classifier in about 30 minutes. Sign up for the beta test here. The GNIP Power Track, in partnership with Twitter, provides users with unrestricted, real-time filtering of the Twitter fire hose. This enriched feature for DiscoverText provides a valuable analytical tool to our users. Not only will the GNIP Power Track provide use rs with access to the full stream of fire hose data, it will also provide Klout scores, language data, re-tweet frequency, geographic coordinates, and all #hashtags where available in the results. Taken together, this quantity of data and rich metadata fields will allow users to perform valuable social media analysis within DiscoverText. For more information: info@DiscoverText.com