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

Infodemiology and Infoveillance (1461) JMIR Theme Issue: COVID-19 Special Issue (2498) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions 2023 (405) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1089) Anxiety and Stress Disorders (1188) Depression and Mood Disorders; Suicide Prevention (1524) Information Seeking, Information Needs (529) Natural Language Processing (804) Outbreak and Pandemic Preparedness and Management (1782) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1531)

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
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5:39 PM · Jan 27, 2022

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RT @jmirpub: New in JMIR: Using the #COVID19 #coronavirus Pandemic to Assess the Influence of News Affect on #Online #MentalHealth-Related…

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RT @jmirpub: New in JMIR: Using the #COVID19 #coronavirus Pandemic to Assess the Influence of News Affect on #Online #MentalHealth-Related…

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