Using AI to Determine Reliability of Health Advice on the Internet

As part of a doctoral research project in computing science, you are invited to participate in a survey aimed at gathering perspectives of clinicians and medical professionals on the reliability of health advice on the Internet.

Dr. Hamman Samuel, and our colleagues at the Department of Computing Science at the University of Alberta are seeking your input in a survey that will help evaluate various automated computing algorithms that have been developed to classify real versus fake online health information.

Click here to complete the survey: https://is.gd/MedFact

This study has been reviewed and approved by the Research Ethics Board at the University of Alberta for adherence to ethical guidelines, Project ID Pro00079019. For questions regarding ethical conduct of research and participant rights, feel free to contact the Research Ethics Office at +1 (780) 492-2615.

For questions about this research please contact:

Hamman W. Samuel, PhD Candidate
hwsamuel@ualberta.ca
Department of Computing Science
University of Alberta
http://www.cs.ualberta.ca/~hwsamuel/

 

Dr. Osmar R. Zaiane, McCalla-Killam Professor
zaiane@ualberta.ca
Department of Computing Science
University of Alberta
http://www.cs.ualberta.ca/~zaiane/

 

Dr. Francois Bolduc, Canadian Intellectual Disability Network
fbolduc@ualberta.ca
Dept. of Pediatrics, Faculty of Medicine & Dentistry,
University of Alberta
http://www.bolduclab.com/