Thank you for taking part in this study. It should take approximately 30 minutes to complete. This research is being conducted by Dr Luning Sun and Prof David Stillwell at Cambridge Judge Business School (CJBS) in collaboration with scholars from University of Kent, Xinjiang University, Hunan University, Max Planck Institute for Security and Privacy, and University of Luxembourg. It aims to investigate whether simple and quick training on different artefacts of deepfake facial images can improve people’s performance on distinguishing such images from real ones and to examine what factors may affect people’s performance in detecting deepfake facial images.
Please read the notes below carefully. If you are happy to participate in this study, please click to confirm below.
- I understand the scope of this study and have had the opportunity to ask the researcher any questions that I have about the study and my involvement in it. I am aware that I can contact the researcher (l.sun@jbs.cam.ac.uk) at any time.
- I understand that my responses will be stored initially by Supabase, whose privacy policy is here:
Supabase Privacy Policy.
Once the survey is closed, any personally identifiable data may be moved to a secure server at CJBS, accessible only by CJBS IT staff and the research team.
- I agree that anonymised data may be used in publication of the results and shared with other academics, for research purposes.
- I understand that all efforts will be made to ensure I cannot be identified (except as may be required by law). However, I am aware that information in the public domain may make it possible to identify me.
- I understand that I am free to withdraw at any time during the survey without giving a reason, by closing the browser.
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