Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44356, first published .
Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter

Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter

Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter

Plinio Pelegrini Morita   1, 2, 3, 4, 5 * , PEng, MSc, PhD ;   Irfhana Zakir Hussain   1, 6 * , BTech ;   Jasleen Kaur   1 * , BTech, MTech, PhD ;   Matheus Lotto   1, 7 , MSc, DDS ;   Zahid Ahmad Butt   1 , MBBS, MSc, PhD

1 School of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, ON, Canada

2 Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada

3 Research Institute for Aging, University of Waterloo, Waterloo, ON, Canada

4 Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada

5 Centre for Digital Therapeutics, Techna Institute, University Health Network, Toronto, ON, Canada

6 Department of Data Science and Business Systems, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, India

7 Department of Pediatric Dentistry, Orthodontics and Public Health, Bauru School of Dentistry, University of São Paulo,, Bauru, Brazil

*these authors contributed equally

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