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

Early Results from COVID-19 Studies (309) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) JMIR Theme Issue: COVID-19 Special Issue (2461) Infodemiology and Infoveillance (1369) Outbreak and Pandemic Preparedness and Management (1743) Infectious Diseases (non-STD/STI) (1592) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (386)

Published on in Vol 5, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23593, first published .
Concerns Discussed on Chinese and French Social Media During the COVID-19 Lockdown: Comparative Infodemiology Study Based on Topic Modeling

Concerns Discussed on Chinese and French Social Media During the COVID-19 Lockdown: Comparative Infodemiology Study Based on Topic Modeling

Concerns Discussed on Chinese and French Social Media During the COVID-19 Lockdown: Comparative Infodemiology Study Based on Topic Modeling

Authors of this article:

Stéphane Schück1 Author Orcid Image ;   Pierre Foulquié1 Author Orcid Image ;   Adel Mebarki1 Author Orcid Image ;   Carole Faviez2 Author Orcid Image ;   Mickaïl Khadhar1 Author Orcid Image ;   Nathalie Texier1 Author Orcid Image ;   Sandrine Katsahian2, 3 Author Orcid Image ;   Anita Burgun2, 4, 5, 6 Author Orcid Image ;   Xiaoyi Chen2 Author Orcid Image
Article Authors Cited by (14) Tweetations (5) Metrics

Journals

  1. Al-Rawi A, Zemenchik K. Sex Workers’ Lived Experiences With COVID-19 on Social Media: Content Analysis of Twitter Posts. JMIR Formative Research 2022;6(7):e36268 View
  2. Mitera H. Topic-Modeling-Ansätze für Social Media Kommunikation in der Coronapandemie. Information – Wissenschaft & Praxis 2022;73(4):197 View
  3. Kim M, Noh Y, Yamada A, Hong S. Comparison of the Erectile Dysfunction Drugs Sildenafil and Tadalafil Using Patient Medication Reviews: Topic Modeling Study. JMIR Medical Informatics 2022;10(2):e32689 View
  4. Renner S, Loussikian P, Foulquié P, Arnould B, Marrel A, Barbier V, Mebarki A, Schück S, Bharmal M. Perceived Unmet Needs in Patients Living With Advanced Bladder Cancer and Their Caregivers: Infodemiology Study Using Data From Social Media in the United States. JMIR Cancer 2022;8(3):e37518 View
  5. Chen A, Zhang J, Liao W, Luo C, Shen C, Feng B. Multiplicity and dynamics of social representations of the COVID-19 pandemic on Chinese social media from 2019 to 2020. Information Processing & Management 2022;59(4):102990 View
  6. Chin H, Lima G, Shin M, Zhunis A, Cha C, Choi J, Cha M. User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis. Journal of Medical Internet Research 2023;25:e40922 View
  7. Constant A, Conserve D, Gallopel-Morvan K, Raude J. Cognitive Factors Associated With Public Acceptance of COVID-19 Nonpharmaceutical Prevention Measures: Cross-sectional Study. JMIRx Med 2022;3(2):e32859 View
  8. Hu M, Conway M. Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia. JMIR Infodemiology 2022;2(2):e36941 View
  9. Faviez C, Talmatkadi M, Foulquié P, Mebarki A, Schück S, Burgun A, Chen X. Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study. JMIR Infodemiology 2023;3:e41863 View
  10. Haupt M, Chiu M, Chang J, Li Z, Cuomo R, Mackey T, Cresci S. Detecting nuance in conspiracy discourse: Advancing methods in infodemiology and communication science with machine learning and qualitative content coding. PLOS ONE 2023;18(12):e0295414 View
  11. Singh L, Bao L, Bode L, Budak C, Pasek J, Raghunathan T, Traugott M, Wang Y, Wycoff N. Understanding the rationales and information environments for early, late, and nonadopters of the COVID-19 vaccine. npj Vaccines 2024;9(1) View
  12. Barbarot S, Reguiai Z, Voillot P, Malaab J, Schück S, Tamzali A. The impact of alopecia areata on patients' daily lives: A study using social media in France. JEADV Clinical Practice 2024;3(5):1735 View
  13. Schuck S, Loussikian P, Mebarki A, Malaab J, Foulquié P, Talmatkadi M, Kearney M. Perceived unmet needs and impact on quality of life of patients living with advanced bladder cancer and their caregivers: results of a social media listening study conducted in five European countries. BMC Cancer 2024;24(1) View

Books/Policy Documents

  1. Sarker A. Natural Language Processing in Biomedicine. View