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Microblogging in Response to a Violent Crisis Philly NetSquared Tuesday, March 2, 2010 Thomas Heverin
“ Four police officers shot dead in coffee-shop ambush near Tacoma” Tacoma News Tribune, McClatchy Newspapers, November 29, 2009
Methodology ,[object Object],[object Object],[object Object],[object Object]
Author Types  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Message Types  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Table 2. Percentage of tweet type (non-exclusive) per 12 hour time period Time  Period (12 hour time periods) Information (%)  Opinion (%) Technology (%) Emotion (%) Action (%) Other (%) 0-12 hrs 90.0% 6.8% 1.1% 5.6% 1.1% 0.0% 12-24hrs 86.6% 13.0% 3.1% 4.5% 1.3% 0.7% 24-36hrs 73.9% 18.3% 7.0% 2.7% 0.5% 3.7% 36-48hrs 74.6% 21.3% 1.0% 3.8% 0.5% 2.8% 49-60hrs 80.1% 20.9% 2.4% 3.0% 0.0% 0.0%
Table 2. Percentage of tweet type (non-exclusive) per 12 hour time period Time  Period (12 hour time periods) Information (%)  Opinion (%) Technology (%) Emotion (%) Action (%) Other (%) 0-12 hrs 90.0% 6.8% 1.1% 5.6% 1.1% 0.0% 12-24hrs 86.6% 13.0% 3.1% 4.5% 1.3% 0.7% 24-36hrs 73.9% 18.3% 7.0% 2.7% 0.5% 3.7% 36-48hrs 74.6% 21.3% 1.0% 3.8% 0.5% 2.8% 49-60hrs 80.1% 20.9% 2.4% 3.0% 0.0% 0.0%
Table 2. Percentage of tweet type (non-exclusive) per 12 hour time period Time  Period (12 hour time periods) Information (%)  Opinion (%) Technology (%) Emotion (%) Action (%) Other (%) 0-12 hrs 90.0% 6.8% 1.1% 5.6% 1.1% 0.0% 12-24hrs 86.6% 13.0% 3.1% 4.5% 1.3% 0.7% 24-36hrs 73.9% 18.3% 7.0% 2.7% 0.5% 3.7% 36-48hrs 74.6% 21.3% 1.0% 3.8% 0.5% 2.8% 49-60hrs 80.1% 20.9% 2.4% 3.0% 0.0% 0.0%
Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Microblogging in Response to a Violent Crisis

  • 1. Microblogging in Response to a Violent Crisis Philly NetSquared Tuesday, March 2, 2010 Thomas Heverin
  • 2. “ Four police officers shot dead in coffee-shop ambush near Tacoma” Tacoma News Tribune, McClatchy Newspapers, November 29, 2009
  • 3.
  • 4.
  • 5.
  • 6. Table 2. Percentage of tweet type (non-exclusive) per 12 hour time period Time Period (12 hour time periods) Information (%) Opinion (%) Technology (%) Emotion (%) Action (%) Other (%) 0-12 hrs 90.0% 6.8% 1.1% 5.6% 1.1% 0.0% 12-24hrs 86.6% 13.0% 3.1% 4.5% 1.3% 0.7% 24-36hrs 73.9% 18.3% 7.0% 2.7% 0.5% 3.7% 36-48hrs 74.6% 21.3% 1.0% 3.8% 0.5% 2.8% 49-60hrs 80.1% 20.9% 2.4% 3.0% 0.0% 0.0%
  • 7. Table 2. Percentage of tweet type (non-exclusive) per 12 hour time period Time Period (12 hour time periods) Information (%) Opinion (%) Technology (%) Emotion (%) Action (%) Other (%) 0-12 hrs 90.0% 6.8% 1.1% 5.6% 1.1% 0.0% 12-24hrs 86.6% 13.0% 3.1% 4.5% 1.3% 0.7% 24-36hrs 73.9% 18.3% 7.0% 2.7% 0.5% 3.7% 36-48hrs 74.6% 21.3% 1.0% 3.8% 0.5% 2.8% 49-60hrs 80.1% 20.9% 2.4% 3.0% 0.0% 0.0%
  • 8. Table 2. Percentage of tweet type (non-exclusive) per 12 hour time period Time Period (12 hour time periods) Information (%) Opinion (%) Technology (%) Emotion (%) Action (%) Other (%) 0-12 hrs 90.0% 6.8% 1.1% 5.6% 1.1% 0.0% 12-24hrs 86.6% 13.0% 3.1% 4.5% 1.3% 0.7% 24-36hrs 73.9% 18.3% 7.0% 2.7% 0.5% 3.7% 36-48hrs 74.6% 21.3% 1.0% 3.8% 0.5% 2.8% 49-60hrs 80.1% 20.9% 2.4% 3.0% 0.0% 0.0%
  • 9.