On the State of Social Media Data for Mental Health Research

Autor:	Harrigian, Keith, Aguirre, Carlos, Dredze, Mark
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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, in terms of both medical understanding and system performance, 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. Comment: Originally submitted to ICWSM in January 2020. v1 updated November 2020. v2 updated April 2021, to appear at CLPsych 2021. Supplementary material at https://github.com/kharrigian/mental-health-datasets
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2011.05233 Zobrazit plný text záznamu View this record from Arxiv