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Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Understanding who uses Reddit
T2 - Profiling individuals with a self-reported bipolar disorder diagnosis
AU - Jagfeld, Glorianna
AU - Lobban, Fiona
AU - Rayson, Paul
AU - Jones, Steven
PY - 2021/6/11
Y1 - 2021/6/11
N2 - Recently, research on mental health conditions using public online data, including Reddit, has surged in NLP and health research but has not reported user characteristics, which are important to judge generalisability of findings. This paper shows how existing NLP methods can yield information on clinical, demographic, and identity characteristics of almost 20K Reddit users who self-report a bipolar disorder diagnosis. This population consists of slightly more feminine- than masculine-gendered mainly young or middle-aged US-based adults who often report additional mental health diagnoses, which is compared with general Reddit statistics and epidemiological studies. Additionally, this paper carefully evaluates all methods and discusses ethical issues.
AB - Recently, research on mental health conditions using public online data, including Reddit, has surged in NLP and health research but has not reported user characteristics, which are important to judge generalisability of findings. This paper shows how existing NLP methods can yield information on clinical, demographic, and identity characteristics of almost 20K Reddit users who self-report a bipolar disorder diagnosis. This population consists of slightly more feminine- than masculine-gendered mainly young or middle-aged US-based adults who often report additional mental health diagnoses, which is compared with general Reddit statistics and epidemiological studies. Additionally, this paper carefully evaluates all methods and discusses ethical issues.
U2 - 10.18653/v1/2021.clpsych-1.1
DO - 10.18653/v1/2021.clpsych-1.1
M3 - Conference contribution/Paper
SP - 1
EP - 14
BT - Computational Linguistics and Clinical Psychology: Improving Access
A2 - Goharian, Nazli
A2 - Resnik, Philip
A2 - Yates, Andrew
A2 - Ireland, Molly
A2 - Niederhoffer, Kate
A2 - Resnik, Rebecca
PB - Association for Computational Linguistics (ACL Anthology)
CY - Stroudsberg, PA
ER -