This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1349) JMIR Theme Issue: COVID-19 Special Issue (2452) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (383) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Anxiety and Stress Disorders (1053) Depression and Mood Disorders; Suicide Prevention (1363) Information Seeking, Information Needs (465) Natural Language Processing (692) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32731, first published .
Using the COVID-19 Pandemic to Assess the Influence of News Affect on Online Mental Health-Related Search Behavior Across the United States: Integrated Sentiment Analysis and the Circumplex Model of Affect

Using the COVID-19 Pandemic to Assess the Influence of News Affect on Online Mental Health-Related Search Behavior Across the United States: Integrated Sentiment Analysis and the Circumplex Model of Affect

Using the COVID-19 Pandemic to Assess the Influence of News Affect on Online Mental Health-Related Search Behavior Across the United States: Integrated Sentiment Analysis and the Circumplex Model of Affect

Authors of this article:

Damien Lekkas1, 2 Author Orcid Image ;   Joseph A Gyorda1 Author Orcid Image ;   George D Price1, 2 Author Orcid Image ;   Zoe Wortzman1 Author Orcid Image ;   Nicholas C Jacobson1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (12) Tweetations (4) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.