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

Early Results from COVID-19 Studies (372) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1994) Infodemiology and Infoveillance (1613) Outbreak and Pandemic Preparedness and Management (1855) JMIR Theme Issue: COVID-19 Special Issue (2571) Infoveillance and Social Listening (332) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (109)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63997, first published .
Analysis of Social Media Perceptions During the COVID-19 Pandemic in the United Kingdom: Social Listening Study (2019-2022)

Analysis of Social Media Perceptions During the COVID-19 Pandemic in the United Kingdom: Social Listening Study (2019-2022)

Analysis of Social Media Perceptions During the COVID-19 Pandemic in the United Kingdom: Social Listening Study (2019-2022)

Authors of this article:

Marzieh Araghi1 Author Orcid Image ;   Arron Sahota1 Author Orcid Image ;   Maciej Czachorowski1 Author Orcid Image ;   Kevin Naicker1 Author Orcid Image ;   Natalie Bohm1 Author Orcid Image ;   Katie Phillipps2 Author Orcid Image ;   James Gaddum2 Author Orcid Image ;   Erica Jane Cook3 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Wani M. Optimized CNN–LSTM Modeling for Crisis Event Detection in Noisy Social Media Streams. Mathematics 2026;14(8):1369 View