DSM-Twitter: Are We Happy Or Sad Right Now?

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(Created page with '{{Activity |Tags=Mental Health, Real-Time |Description=Using our real-time analysis of depression surveillance on Twitter, there were 417 tweets - within 15 miles of Toronto - ex...')
 
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{{Activity
{{Activity
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|Tags=Mental Health, Real-Time
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|Tags=Mental Health, Real-Time, Essay,Twitter
|Description=Using our real-time analysis of depression surveillance on Twitter, there were 417 tweets - within 15 miles of Toronto - expressing sadness (or what Twitter calls a "negative attitude") during 17 minutes on March 12 (from 1:06pm EST to 1:23pm EST). During the very same time frame, there were 1,500 tweets from Toronto showing happiness or a "positive attitude." This suggests that the ratio of happy comments to sad comments in the Toronto area was 3.6 to 1.
|Description=Using our real-time analysis of depression surveillance on Twitter, there were 417 tweets - within 15 miles of Toronto - expressing sadness (or what Twitter calls a "negative attitude") during 17 minutes on March 12 (from 1:06pm EST to 1:23pm EST). During the very same time frame, there were 1,500 tweets from Toronto showing happiness or a "positive attitude." This suggests that the ratio of happy comments to sad comments in the Toronto area was 3.6 to 1.
|Start date=March 2009
|Start date=March 2009
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|Publication=http://www.longwoods.com/product.php?productid=20617&page=2
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|Image=Essay.png
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|Publication=http://www.longwoods.com/content/20617
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|People=Neil Seeman, Carlos Rizo
}}
}}

Current revision as of 14:59, 9 May 2010

DSM-Twitter: Are We Happy Or Sad Right Now?

Essay.png

Using our real-time analysis of depression surveillance on Twitter, there were 417 tweets - within 15 miles of Toronto - expressing sadness (or what Twitter calls a "negative attitude") during 17 minutes on March 12 (from 1:06pm EST to 1:23pm EST). During the very same time frame, there were 1,500 tweets from Toronto showing happiness or a "positive attitude." This suggests that the ratio of happy comments to sad comments in the Toronto area was 3.6 to 1.

Start date March 2009




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