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

JMIR Theme Issue: COVID-19 Special Issue (2481) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (175) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1079) Infodemiology and Infoveillance (1433) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1526) Vaccination and Immunization in the Digital Age (390)

Published on in Vol 24, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35115, first published .
Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets

Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets

Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets

Authors of this article:

Beatrice Portelli1, 2 Author Orcid Image ;   Simone Scaboro1 Author Orcid Image ;   Roberto Tonino1 Author Orcid Image ;   Emmanuele Chersoni3 Author Orcid Image ;   Enrico Santus4 Author Orcid Image ;   Giuseppe Serra1 Author Orcid Image
Article Authors Cited by (12) Tweetations (10) Metrics

Journals

  1. Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View
  2. Unnikrishnan R, S. S, V.S. A. Efficient parameter tuning of neural foundation models for drug perspective prediction from unstructured socio-medical data. Engineering Applications of Artificial Intelligence 2023;123:106214 View
  3. Dupuy-Zini A, Audeh B, Gérardin C, Duclos C, Gagneux-Brunon A, Bousquet C. Users’ Reactions to Announced Vaccines Against COVID-19 Before Marketing in France: Analysis of Twitter Posts. Journal of Medical Internet Research 2023;25:e37237 View
  4. Zaidi Z, Ye M, Samon F, Jama A, Gopalakrishnan B, Gu C, Karunasekera S, Evans J, Kashima Y. Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets. Journal of Medical Internet Research 2023;25:e45069 View
  5. Scaboro S, Portelli B, Chersoni E, Santus E, Serra G. Extensive evaluation of transformer-based architectures for adverse drug events extraction. Knowledge-Based Systems 2023;275:110675 View
  6. Wang H, Wang X. Sentiment analysis of tweets and government translations: Assessing China’s post-COVID-19 landscape for signs of withering or booming. Global Media and China 2023;8(2):213 View
  7. Litvinova O, Yeung A, Hammerle F, Mickael M, Matin M, Kletecka-Pulker M, Atanasov A, Willschke H. Digital Technology Applications in the Management of Adverse Drug Reactions: Bibliometric Analysis. Pharmaceuticals 2024;17(3):395 View
  8. Alhumayani M, Alhazmi H. Detecting Reported Side Effects of COVID-19 Vaccines From Arabic Twitter (X) Data. IEEE Access 2024;12:55367 View
  9. Daluwatte C, Khromava A, Chen Y, Serradell L, Chabanon A, Chan-Ou-Teung A, Molony C, Juhaeri J. Application of a Language Model Tool for COVID-19 Vaccine Adverse Event Monitoring Using Web and Social Media Content: Algorithm Development and Validation Study. JMIR Infodemiology 2024;4:e53424 View
  10. Rajaei F, Minoccheri C, Wittrup E, Wilson R, Athey B, Omenn G, Najarian K. AI-Based Computational Methods in Early Drug Discovery and Post Market Drug Assessment: A Survey. IEEE Transactions on Computational Biology and Bioinformatics 2025;22(1):97 View
  11. Coteur K, Zafirovska M, Zafirovski A, Danilenko J, Lingner H, Bauch F, Brütting C, Buono N, Lazic V, Ramasaco L, Silina V, Fuehner L, Harris M. How People in Eight European Countries Felt About the Safety, Effectiveness, and Necessity of COVID-19 Vaccination: A Cross-Sectional Survey. Healthcare 2025;13(3):344 View

Books/Policy Documents

  1. Serra G, Portelli B, Scaboro S, Chersoni E. Innovating Health Against Future Pandemics. View