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

Viewpoints and Perspectives (514) JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infectious Diseases (non-STD/STI) (1575) Mass Media/Social Media Communication and Campaigns (461) Infodemiology and Infoveillance (1349) Artificial Intelligence (1371) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Theme Issue: Apps for COVID-19 (#Apps4Covid) (136) Infoveillance and Social Listening (209)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26618, first published .
Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media Analysis

Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media Analysis

Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence–Enabled Social Media Analysis

Authors of this article:

Kathrin Cresswell1 Author Orcid Image ;   Ahsen Tahir2, 3 Author Orcid Image ;   Zakariya Sheikh4 Author Orcid Image ;   Zain Hussain4 Author Orcid Image ;   Andrés Domínguez Hernández5 Author Orcid Image ;   Ewen Harrison1 Author Orcid Image ;   Robin Williams6 Author Orcid Image ;   Aziz Sheikh1 Author Orcid Image ;   Amir Hussain2 Author Orcid Image
Article Authors Cited by (28) Tweetations (13) Metrics

Journals

  1. Zheng D, Liu S, Lu W. Do You Trust Digital Health Pass? Understanding Tourists’ Responses toward Using Health QR Codes in Pandemic Travel. Journal of China Tourism Research 2023;19(1):31 View
  2. Weaver E, Uddin S, Lamprou D. Emerging technologies for combating pandemics. Expert Review of Medical Devices 2022;19(7):533 View
  3. Yan C, Law M, Nguyen S, Cheung J, Kong J. Comparing Public Sentiment Toward COVID-19 Vaccines Across Canadian Cities: Analysis of Comments on Reddit. Journal of Medical Internet Research 2021;23(9):e32685 View
  4. Melton C, White B, Davis R, Bednarczyk R, Shaban-Nejad A. Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study. Journal of Medical Internet Research 2022;24(10):e40408 View
  5. O'Donnell C, Macdonald S, Browne S, Albanese A, Blane D, Ibbotson T, Laidlaw L, Heaney D, Lowe D. Widening or narrowing inequalities? The equity implications of digital tools to support COVID‐19 contact tracing: A qualitative study. Health Expectations 2022;25(6):2851 View
  6. Jing F, Li Z, Qiao S, Zhang J, Olatosi B, Li X. Using geospatial social media data for infectious disease studies: a systematic review. International Journal of Digital Earth 2023;16(1):130 View
  7. Arora G, Joshi J, Mandal R, Shrivastava N, Virmani R, Sethi T. Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19. Pathogens 2021;10(8):1048 View
  8. Magazzino C, Mele M, Coccia M. A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality. Epidemiology and Infection 2022;150 View
  9. Bahuguna A, Yadav D, Senapati A, Saha B, Pinto D, Beltrán B, Singh V. A unified deep neuro-fuzzy approach for COVID-19 twitter sentiment classification. Journal of Intelligent & Fuzzy Systems 2022;42(5):4587 View
  10. Nurgalieva L, Ryan S, Doherty G. Attitudes Towards COVID-19 Contact Tracing Apps: A Cross-National Survey. IEEE Access 2023;11:16509 View
  11. Malik T, Tahir A, Bilal A, Dashtipour K, Imran M, Abbasi Q. Social Sensing for Sentiment Analysis of Policing Authority Performance in Smart Cities. Frontiers in Communications and Networks 2022;2 View
  12. Hussain Z, Sheikh Z, Tahir A, Dashtipour K, Gogate M, Sheikh A, Hussain A. Artificial Intelligence–Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study. JMIR Public Health and Surveillance 2022;8(5):e32543 View
  13. Saini V, Liang L, Yang Y, Le H, Wu C. The Association Between Dissemination and Characteristics of Pro-/Anti-COVID-19 Vaccine Messages on Twitter: Application of the Elaboration Likelihood Model. JMIR Infodemiology 2022;2(1):e37077 View
  14. Coccia M, Mele M, Magazzino C. The Effectiveness of Vaccination Campaigns on COVID-19 Fatality: A Neural Network Experiment to Guide Policy Responses for Next Pandemic Crises. SSRN Electronic Journal 2022 View
  15. van Noordt C, Tangi L. The dynamics of AI capability and its influence on public value creation of AI within public administration. Government Information Quarterly 2023;40(4):101860 View
  16. Pelletier C, Labbé F, Bettinger J, Curran J, Graham J, Greyson D, MacDonald N, Meyer S, Steenbeek A, Xu W, Dubé È. From high hopes to disenchantment: A qualitative analysis of editorial cartoons on COVID-19 vaccines in Canadian newspapers. Vaccine 2023;41(30):4384 View
  17. Chen K, Cate A, Cheren H. Communicating Agriculture AI Technologies: How American Agricultural Producers’ Perception of Trustworthiness, Risk Perception, and Emotion Affect Their Likelihood of Adopting Artificial Intelligence in Food Systems. Environmental Communication 2023;17(8):1004 View
  18. Tsinaraki C, Benetta A, Minghini M, Kotsev A, Schade S. Taking the pulse about contact tracing apps on Twitter. Multimedia Tools and Applications 2024;83(37):84765 View
  19. Hussain A, Hussain Z, Gogate M, Dashtipour K, Ng D, Riaz M, Goman A, Sheikh A, Hussain A, Clark M. Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication. PLOS ONE 2024;19(4):e0288223 View
  20. Awan A, Gonzalez A, Sharma M. A Neoteric Approach toward Social Media in Public Health Informatics: A Narrative Review of Current Trends and Future Directions. Information 2024;15(5):276 View
  21. Srivastava V, Kumar R, Wani M, Robinson K, Ahmad A. Role of artificial intelligence in early diagnosis and treatment of infectious diseases. Infectious Diseases 2024:1 View

Books/Policy Documents

  1. Tripathi S, Sharma D. Emerging Technologies for Computing, Communication and Smart Cities. View
  2. Aziz S, Ilyas Q, Mehmood A, Ahmad A. Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence. View
  3. Sharma M. Effective Use of Social Media in Public Health. View
  4. Giacó L, De Meulder B, Valentini V, Scambia G, Cesario A, Auffray C. Personalized Medicine Meets Artificial Intelligence. View
  5. Santosh K, Nakarmi S. Active Learning to Minimize the Possible Risk of Future Epidemics. View