On the State of Social Media Data for Mental Health Research

Keith Harrigian, Carlos Aguirre, Mark Dredze

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Data-driven methods for mental health treatment and surveillance have become a major focus in computational science research in the last decade. However, progress in the domain remains bounded by the availability of adequate data. Prior systematic reviews have not necessarily made it possible to measure the degree to which data-related challenges have affected research progress. In this paper, we offer an analysis specifically on the state of social media data that exists for conducting mental health research. We do so by introducing an open-source directory of mental health datasets, annotated using a standardized schema to facilitate meta-analysis.1

Original languageEnglish (US)
Title of host publicationComputational Linguistics and Clinical Psychology
Subtitle of host publicationImproving Access, CLPsych 2021 - Proceedings of the 7th Workshop, in conjunction with NAACL 2021
EditorsNazli Goharian, Philip Resnik, Andrew Yates, Molly Ireland, Kate Niederhoffer, Rebecca Resnik
PublisherAssociation for Computational Linguistics (ACL)
Pages15-24
Number of pages10
ISBN (Electronic)9781954085411
StatePublished - 2021
Event7th Workshop on Computational Linguistics and Clinical Psychology: Improving Access, CLPsych 2021 - Virtual, Online
Duration: Jun 11 2021 → …

Publication series

NameComputational Linguistics and Clinical Psychology: Improving Access, CLPsych 2021 - Proceedings of the 7th Workshop, in conjunction with NAACL 2021

Conference

Conference7th Workshop on Computational Linguistics and Clinical Psychology: Improving Access, CLPsych 2021
CityVirtual, Online
Period6/11/21 → …

ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Networks and Communications
  • Speech and Hearing

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