Measuring Mental Health Stigma 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 damaging physical and emotional effects exacerbated by intense stigma. In this project, we quantify trends in stigma surrounding mental illness using Twitter data. First, we show that the phrase “mental health” increased in popularity by a factor of 10 between 2013 and 2017. Additional words and phrases occurring in these messages reveal social trends responsible for the tremendous increase in collective attention. Second, we compile a list of negative labels commonly used in stigmatizing language, finding their popularity has largely decreased during this period. Finally, we identify depression diagnosis self-disclosure statements and report on their prevalence over time.
Description
Date
2020-01-01
Student Status
Undergraduate
Journal Title
Journal ISSN
Volume Title
Type of presentation
Poster Presentation
Collections
Research Projects
Organizational Units
Journal Issue
Citation
DOI
Department
Program/Major
Data Science
College/School
College of Engineering and Mathematical Sciences
Patrick Leahy Honors College
Patrick Leahy Honors College
Organization
item.page.researchcategory
Social Sciences
Engineering & Physical Sciences
Health Sciences
Engineering & Physical Sciences
Health Sciences