Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42227, first published .
One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study

One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study

One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study

Journals

  1. 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
  2. Ng Q, Ng C, Ong C, Lee D, Liew T. Examining Public Messaging on Influenza Vaccine over Social Media: Unsupervised Deep Learning of 235,261 Twitter Posts from 2017 to 2023. Vaccines 2023;11(10):1518 View
  3. Al-Rawi A, Blackwell B, Zemenchik K, Lee K. Twitter Misinformation Discourses About Vaping: Systematic Content Analysis. Journal of Medical Internet Research 2023;25:e49416 View
  4. Duzen Z, Riveni M, Aktas M. Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis. Computers 2023;12(11):232 View
  5. Ahammad T. Identifying hidden patterns of fake COVID-19 news: An in-depth sentiment analysis and topic modeling approach. Natural Language Processing Journal 2024;6:100053 View
  6. Valeanu A, Mihai D, Andrei C, Puscasu C, Ionica A, Hinoveanu M, Predoi V, Bulancea E, Chirita C, Negres S, Marineci C. Identification, analysis and prediction of valid and false information related to vaccines from Romanian tweets. Frontiers in Public Health 2024;12 View
  7. AŞAN H. 6 ŞUBAT 2023 KAHRAMANMARAŞ DEPREMI SONRASI AFET YÖNETIMI AÇISINDAN SOSYAL MEDYA HESAPLARININ GÜVENIRLIK ANALIZI VE DEĞERLENDIRILMESI. Akademik Yaklaşımlar Dergisi 2024;15(1 -Deprem Özel Sayısı-):411 View