Deepfake Detection Confidence
Information SystemsReliability: alpha 0.883 sample items
About this scale
A multi-item measure of users' confidence in their ability to identify deepfakes (AI-generated synthetic media). Captures both subjective confidence and behavioural willingness to verify.
Sample item(s)
“I am confident I can spot a deepfake video”
“I usually try to verify whether a video is real before sharing it”
“I find it difficult to tell AI-generated images apart from real ones (reverse)”
Reliability
Reported internal consistency: alpha 0.88. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Important for misinformation and AI-trust research.
Source & citation
Köbis, N. C., Doležalová, B., & Soraperra, I. (2021): Fooled twice: People cannot detect deepfakes but think they can. iScience, Vol. 24, No. 11, Article 103364.
Köbis, Doležalová & Soraperra (2021): Fooled twice — deepfakes. iScience, 24(11), 103364.
Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.
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