Thank you for taking part in this study. It should take approximately 15-20 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, Human University, and Max Planck Institute for Security and Privacy. 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.
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  • Visit our privacy policy: www.jbs.cam.ac.uk/about-this-site/privacy-policy
  • Find out about how we process research participant data: www.information-compliance.admin.cam.ac.uk/data-protection/research-participant-data
• I agree that anonymised data may be used in publications arising from this research and may also be shared with other researchers for research purposes.
• I understand that the data collected for analysis will be anonymous and that the research team will not be able to link my analysed responses back to me personally.
• I understand that I am free to withdraw at any time before I submit the final page of the study, including after viewing my performance summary, without giving a reason, by closing the browser or leaving the study website. Once I have submitted the study anonymously, the research team may not be able to identify and remove my data.

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