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

JMIR Theme Issue: COVID-19 Special Issue (2554) Infodemiology and Infoveillance (1558) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Infectious Diseases (non-STD/STI) (1726) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) Mass Media/Social Media Communication and Campaigns (574) Telehealth and Telemonitoring (2088) Outbreak and Pandemic Preparedness and Management (1826) Theme Issue: Medical Informatics and COVID-19 (124)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28648, first published .
Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study

Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study

Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study

Authors of this article:

Catherine C Pollack1, 2 Author Orcid Image ;   Diane Gilbert-Diamond2, 3, 4 Author Orcid Image ;   Jennifer A Alford-Teaster1, 2 Author Orcid Image ;   Tracy Onega5 Author Orcid Image
Article Authors Cited by (9) Tweetations (12) Metrics

Journals

  1. M. D, S. S. A machine learning approach on analysing the sentiments in the adoption of telemedicine application during COVID-19. Journal of Science and Technology Policy Management 2024;15(4):725 View
  2. Gozuacik N, Sakar C, Ozcan S. Technological forecasting based on estimation of word embedding matrix using LSTM networks. Technological Forecasting and Social Change 2023;191:122520 View
  3. Shoults C, Dawson L, Hayes C, Eswaran H. Comparing the Discussion of Telehealth in Two Social Media Platforms: Social Listening Analysis. Telemedicine Reports 2023;4(1):236 View
  4. Jensen R, Rohde J, Muro A, Schweppe C, Vanderpool R. Analysis of Telehealth Discussion Trends on Reddit (2019–2022). Telemedicine and e-Health 2024;30(6):e1790 View
  5. Nugroho A, Pitaloka A. PHYSICIANS AND DISRUPTION ON TELEMEDICINE: A SYSTEMATIC LITERATURE REVIEW. Jurnal Administrasi Kesehatan Indonesia 2023;11(2):244 View
  6. Toşa C, Tarigan A. Beneath the hashtag: multifaceted insights into sustainable consumption and production from historical Twitter data. Sustainability: Science, Practice and Policy 2025;21(1) View
  7. Aunimo L, Oprescu A, Kudryavtsev D, Munoz Saavedra L, Romero Ternero M. Perceived Quality of Service in Primary Health Care Based on Google Maps Reviews Before, During, and After the COVID-19 Pandemic: Sentiment Analysis. Journal of Medical Internet Research 2025;27:e70410 View

Books/Policy Documents

  1. Concoff A. Telerheumatology. View

Conference Proceedings

  1. Kumar S, Pillai M, Li Z. 2022 IEEE Symposium Series on Computational Intelligence (SSCI). Global Perception of Telemedicine before and after COVID-19 : A Text Mining Analysis View