DSM-Twitter: Are We Happy Or Sad Right Now?
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{{Activity | {{Activity | ||
- | |Tags=Mental Health, Real-Time | + | |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 | ||
- | |Publication=http://www.longwoods.com/ | + | |Image=Essay.png |
+ | |Publication=http://www.longwoods.com/content/20617 | ||
+ | |People=Neil Seeman, Carlos Rizo | ||
}} | }} |
Current revision as of 14:59, 9 May 2010
DSM-Twitter: Are We Happy Or Sad Right Now?
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.
Tags Mental Health, Real-Time, Essay, Twitter
Start date March 2009
Publication http://www.longwoods.com/content/20617
People Neil Seeman, Carlos Rizo