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Social Media Analysis for Government, NAGC 2011


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A fascinating look at the broad uses of social media analysis.

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Social Media Analysis for Government, NAGC 2011

  1. 1. Andrew Einhorn, M.S. CEO, OhMyGov Inc. 703-243-3461 [email_address] The Science of Social Media What Analytics & Academics Can Teach Us May 11, 2011
  2. 2. <ul><li>Epidemiology/Public Health @ JSI </li></ul><ul><li>Health Communications </li></ul><ul><li>M.S. Engineering Management, GWU </li></ul><ul><li>Boston Book </li></ul><ul><li>ICF International, ESOHMS </li></ul><ul><li>Founder, OhMyGov Inc </li></ul><ul><li>Georgetown Faculty </li></ul>Background
  3. 3. Basic Project Management Steps 1. Baseline Assessment 2. Set Goals 3. Brainstorm & Create Ideas 4. Set Objectives 5. Launch 6. Obtain Feedback 7. Measure Performance 8. Make Improvements
  4. 4. Communications Formulated Without Data is Like Flying Without a Cockpit
  5. 5. Let the Data Steer Your Communications
  6. 6. <ul><li>Percent of Americans that use social networking sites (May 2010). </li></ul>Data Sources Content Uploaded Online Daily by Platform 75% 500 Million 75 Million 2 Billion Viewed 0 50M 200M 350M 500M 650M 800M 1B
  7. 7. Data Sources <ul><li>71 percent of government agencies use some type of social media, usually for public communications. </li></ul>Most Common Uses Chart (Source: Human Capital Institute)
  8. 8. Data Sources Global Monthly Searches (in Millions)
  9. 9. Peak Breakup Times (Source: Facebook Status Updates via David McCandless) What Can We Do With This Data?
  10. 10. What Can We Do With This Data? Twitter Used to Predict Box Office Success Huberman, Bernardo A. Asur, Sitaram <ul><li>2010 Study </li></ul><ul><li>Rate at which messages were produced used to accurately predict opening weekend box-office takings before the film had opened. </li></ul>Movie Prediction Reality The Crazies $16.8M $16.06M Dear John $30.7M $30.46M
  11. 11. Making Predictions <ul><li>Percent Change in Facebook Fans by Political Affiliation Over Time (US House) </li></ul>+61 Seats Facebook Used to Predict 2010 Election Outcomes Einhorn, Hartman, Nelson
  12. 12. Making Predictions +6 Seats Percent Change in Facebook Fans by Political Affiliation Over Time (US Senate)
  13. 13. Who’s Giving Credit? Agency Messaging News Broke on Twitter Public Reactions
  14. 14. Near Real-time Reactions to Obama May 2 May 3 90K 10K 70K 50K 30K Trump May 1 Apr 30 Apr 29 Apr 28 Apr 27 New Followers New Fans
  15. 15. Measuring Performance OhMyGov
  16. 16. Benchmarking Performance OhMyGov
  17. 17. Data Manipulation Facebook = How to Derive Meaning from the Data Negative Positive
  18. 18. VHA Analysis <ul><li>Topics varied, but 60% of the comments were aimed at customer service issues at VHA hospitals and clinics. </li></ul><ul><li>Only 5% of comments addressed quality of care received. The vast majority targeted the VHA advocate program and issues with bureaucracy or long paperwork processing times. </li></ul>60% - Poor Customer Service Care quality Facebook Comment Analysis
  19. 19. VHA Analysis <ul><li>17.5% of comments came from current VA employees. </li></ul><ul><li>Almost all negative. </li></ul><ul><li>VA missing opportunity to create evangelists of staff through better internal communications. </li></ul>VA Staff Non-VA Staff Facebook Comment Analysis
  20. 20. VHA Analysis <ul><li>Complaints were lodged about services provide in: </li></ul><ul><ul><ul><li>Dallas, TX </li></ul></ul></ul><ul><ul><ul><li>Denver, CO </li></ul></ul></ul><ul><ul><ul><li>KC VAMC </li></ul></ul></ul><ul><ul><ul><li>Los Angeles, CA </li></ul></ul></ul><ul><ul><ul><li>Manchester, NH </li></ul></ul></ul><ul><ul><ul><li>West Haven, CT </li></ul></ul></ul><ul><ul><ul><li>San Diego, CA </li></ul></ul></ul><ul><li>Compliments in service improvements were noted in: </li></ul><ul><ul><ul><li>Hampton, VA </li></ul></ul></ul><ul><ul><ul><li>West Haven, CT </li></ul></ul></ul><ul><ul><ul><li>Houston, TX </li></ul></ul></ul><ul><ul><ul><li>Worcester, MA </li></ul></ul></ul>Where will future problems arise? Facebook Comment Analysis (+) (-)
  21. 21. Measuring Relevance Hot on Twitter: @BreakingNews: US blocks $30 billion in Libya assets, the largest freeze ever, Treasury Dept. says RT @zacharykarabell: Treasury Dept reports that China owns even more US debt than we thought. That's a lot of debt #china #economy Treasury Dept. Analysis March 1, 2011
  22. 22. Performance Enhancement Using Social Media Science to Increase Impact
  23. 23. EPA Case Study Goal : EPA launches YouTube contest to create best pro-environmental videos with cash prizes for the winner. Wanted to crowd-source creation of videos.
  24. 24. EPA Case Study Outcome : Blogs and Twitterverse clamor over EPA “greenwashing” propoganda to justify more environmental regulation.
  25. 25. EPA Case Study <ul><li>Lessons Learned : </li></ul><ul><li>Could have used social media to elicit responses to idea prior to launching initiative. </li></ul><ul><li>Could have used social media research to determine response other agencies/orgs had with similar initiatives prior to launch. </li></ul><ul><li>Would have seen all possible reactions and prepared their communications in advance accordingly. </li></ul>
  26. 26. Additional Feedback Tools <ul><ul><li>Uservoice </li></ul></ul><ul><ul><li>Kindling </li></ul></ul><ul><ul><li>Polldaddy </li></ul></ul><ul><ul><li>Twitter & FB </li></ul></ul><ul><ul><li>Ning </li></ul></ul><ul><ul><li>Google Moderator </li></ul></ul><ul><ul><li>Zapsurvey </li></ul></ul><ul><ul><li>Backboard </li></ul></ul>Feedback :
  27. 27. Obtaining feedback
  28. 28. Obtaining feedback
  29. 29. <ul><li>Determine public/employee perceptions. </li></ul><ul><li>Identify problem areas. </li></ul><ul><li>Measure if and how messaging is being received. </li></ul><ul><li>Insights into audience size and type. </li></ul><ul><li>Benchmark similar initiatives. </li></ul>Conclusions How Data Can Help Inform Communications:
  30. 30. Where To Go From Here? Next Steps <ul><li>Commit to continual improvement. </li></ul><ul><li>Create communications plan. </li></ul><ul><ul><li>Set goals & objectives </li></ul></ul><ul><ul><li>Procedures for measuring & reporting </li></ul></ul><ul><li>Select technologies. </li></ul><ul><li>Gather, analyze, & report data. </li></ul><ul><li>Make improvements & institutionalize procedures. </li></ul><ul><li>Get help early on . Too important to go it alone. </li></ul>
  31. 31. Listen to the data.
  32. 32. [email_address] 703-243-3461