Quantifying depression-related language on social media during the COVID-19 pandemic

Quantifying depression-related language on social media during the COVID-19 pandemic

Introduction The COVID-19 pandemic had clear impacts on mental health. Social media presents an opportunity for assessing mental health at the population level. Objectives 1) Identify and describe language used on social media that is associated with discourse about depression. 2) Describe the assoc...

Full description

Bibliographic Details
Main Authors: Chunara, R. (Author), Davis, B.D (Author), Fyshe, A. (Author), Lizotte, D.J (Author), McKnight, D.E (Author), Quan-Haase, A. (Author), Teodorescu, D. (Author)
Format: Article
Language:English
Published: Swansea University 2020
Subjects:
COVID-19
depression
information retrieval
machine learning
public health surveillance
social media
Twitter
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items