Original research
by
Graham, S. Scott et al
Release Date
2022
Geography
International
Language of Resource
English
Full Text Available
No
Open Access / OK to Reproduce
No
Peer Reviewed
Yes
Objective
This study investigates the use of stigmatizing and destigmatizing language in four Twitter communities: Medical, Public Health, Epidemiology, and Mental Health
Findings/Key points
A regression discontinuity design shows a decrease in Public Health’s use of destigmatizing language since the emergence of COVID-19. While the longitudinal findings are promising, they also indicate a need for increased efforts to encourage broader use of destigmatizing language, especially post-COVID.
Design/methods
Dataset of 33,981 tweets discussing opioids within these communities
Keywords
Stigma
