The sentiment of depression on Twitter
Stupinski, Anne Marie
Stupinski, Anne Marie
Citations
Altmetric:
License
License
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.
Description
Date
2019-01-01
Student Status
Undergraduate
Journal Title
Journal ISSN
Volume Title
Type of presentation
Poster Presentation
Collections
Research Projects
Organizational Units
Journal Issue
Citation
DOI
Advisor(s)
Department
Program/Major
Data Science
College/School
College of Engineering and Mathematical Sciences
Organization
item.page.researchcategory
Engineering & Physical Sciences
Health Sciences
Social Sciences
Health Sciences
Social Sciences