TweetPsych uses two linguistic analysis algorithms (RID and LIWC) to build psychological profilea of people based on their Tweets. The results presented here are for entertainment purposes only and the terms used are psychological and may not equate with their normal, english language usage For more information read the blog post or follow the creator Dan Zarrella


The Top Negative Emotions Tweeters.

Below are the users who's Tweets contain the most "Negative Emotions" content.

Top TweetersTweetsFollowers
terai_nise 10193 242
Luky_Marsh 7866 946
ubu_chinchilla 19757 765
sportsgeek09 4169 1939
kura_ 2869 166
lanewspace 14465 582
_chas_ 9074 258
OddTodd 708 1242
bertilhjert 1933 14863
kiryu176 6798 248
San_JoseWeather 4816 1861
MorenoVLYAlerts 4913 662
Yuma_Weather 4291 342
passionmetrics 1511 11426
kansascityalert 5376 1331
fox4 5521 2750
tyado 5056 184
Montpelier_WX 4196 316
ca_nada 44762 1385
SandyUtahAlerts 2563 277
lisisilveira 21904 17094

Check out some other top lists:

.
Created by Dan Zarrella © 2009 (165,128 accounts analyzed)



The results presented here are for entertainment purposes only and the terms used are psychological and may not equate with their normal, english language usage.