The sentiment of depression on Twitter
Stupinski, Anne Marie
Stupinski, Anne Marie
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Abstract
Major depression is a serious health issue afflicting hundreds of millions of people each year, with many going untreated due to the intense stigma surrounding mental illness. Using the Hedonometer, we analyze the sentiment of messages containing the word ‘depression’ posted to Twitter from 2008-2018. We then use a ‘white-box’ tool developed by our group to reveal the words most responsible for sentiment shifts. In particular, we identify specific dates on which sentiment deviates largely from the baseline in response to corresponding real-world events. The results offer insight into language use associated with depression on Twitter.
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3:00 PM
9:00am-11:00am
Undergraduate
9:00am-11:00am
Undergraduate
Date
2019-01-01