Measuring Mental Health Stigma 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 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
1:00pm-3:00pm
Undergraduate
Undergraduate
Date
2020-01-01