AI Hype Perceptions
Information SystemsReliability: alpha 0.863 sample items
About this scale
A multi-item measure of perceptions that AI is over-hyped — that public claims about AI's capabilities exceed its actual ability. Useful in technology-attitudes research.
Sample item(s)
“AI is more hyped than it is useful”
“Companies oversell what AI can actually do”
“People expect too much from AI given its current capabilities”
Reliability
Reported internal consistency: alpha 0.86. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Useful as moderator in AI-attitudes research.
Source & citation
Sundar, S. S., Liao, M., & Liang, J. (2023): Artificial intelligence in the public arena. Journal of Communication, Vol. 73, No. 5, pp. 419–429.
Sundar, Liao & Liang (2023): AI in the public arena. JoC, 73(5), 419–429.
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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