Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21646, first published .
COVID-19 and the Gendered Use of Emojis on Twitter: Infodemiology Study

COVID-19 and the Gendered Use of Emojis on Twitter: Infodemiology Study

COVID-19 and the Gendered Use of Emojis on Twitter: Infodemiology Study

Journals

  1. Tsao S, Chen H, Tisseverasinghe T, Yang Y, Li L, Butt Z. What social media told us in the time of COVID-19: a scoping review. The Lancet Digital Health 2021;3(3):e175 View
  2. Griffith J, Marani H, Monkman H. COVID-19 Vaccine Hesitancy in Canada: Content Analysis of Tweets Using the Theoretical Domains Framework. Journal of Medical Internet Research 2021;23(4):e26874 View
  3. Adikari A, Nawaratne R, De Silva D, Ranasinghe S, Alahakoon O, Alahakoon D. Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence. Journal of Medical Internet Research 2021;23(4):e27341 View
  4. Al-Rawi A, Siddiqi M, Li X, Vandan N, Grepin K. A thematic analysis of Instagram’s gendered memes on COVID-19. Journal of Visual Communication in Medicine 2021;44(4):137 View
  5. Mladenović D, Koštiál K, Ljepava N, Částek O, Chawla Y. Emojis to conversion on social media. International Journal of Consumer Studies 2023;47(3):977 View
  6. Al-Rawi A, Jamieson K. Characterizing the Gendered Twitter Discussion of COVID-19 Hoax. Health Communication 2023;38(14):3366 View
  7. Al-Rawi A. Telegramming Hate: Far-Right Themes on Dark Social Media. Canadian Journal of Communication 2021;46(4):821 View
  8. Gan C, Feng S, Feng H, Fu K, Davies S, Grépin K, Morgan R, Smith J, Wenham C. #WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic. BMJ Global Health 2022;7(4):e008149 View
  9. Usher K, Durkin J, Martin S, Vanderslott S, Vindrola-Padros C, Usher L, Jackson D. Public Sentiment and Discourse on Domestic Violence During the COVID-19 Pandemic in Australia: Analysis of Social Media Posts. Journal of Medical Internet Research 2021;23(10):e29025 View
  10. Szeto M, Barber C, Ranpariya V, Anderson J, Hatch J, Ward J, Aguilera M, Hassan S, Hamp A, Coolman T, Dellavalle R. Emojis and Emoticons in Health Care and Dermatology Communication: Narrative Review. JMIR Dermatology 2022;5(3):e33851 View
  11. Liu C, Tan X, Zhou T, Zhang W, Liu J, Lu X. Emoji use in China: popularity patterns and changes due to COVID-19. Applied Intelligence 2022;52(14):16138 View
  12. Alharbi A, Mahzari M. The pragmatic functions of emojis in Arabic tweets. Frontiers in Psychology 2023;13 View
  13. Zhang J, Xie C, Chen Y, Lin Z. How risk messages influence tourist processing and sharing: The role of emojis. Journal of Hospitality and Tourism Management 2023;56:454 View
  14. Isip Tan I, Cleofas J, Solano G, Pillejera J, Catapang J. Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study. JMIR Formative Research 2023;7:e41134 View
  15. Marani H, Song M, Jamieson M, Roerig M, Allin S. Public Officials’ Engagement on Social Media During the Rollout of the COVID-19 Vaccine: Content Analysis of Tweets. JMIR Infodemiology 2023;3:e41582 View
  16. Tian Y, Zhang W, Duan L, McDonald W, Osgood N. Comparison of pretrained transformer-based models for influenza and COVID-19 detection using social media text data in Saskatchewan, Canada. Frontiers in Digital Health 2023;5 View
  17. Lin T, Luo Y. Emoji and visual complexity in health information design: A moderated serial mediation model. Telematics and Informatics 2023;85:102065 View
  18. Crocker R. “Illness Calls for Stories”: Care, Communication, and Community in the COVID-19 Patient Narrative. Journal of Medical Humanities 2024 View

Books/Policy Documents

  1. Roesch P, Franco C, Bernier W, Othman S. Intelligent Computing. View