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Susceptibility to AI Persuasion

Information SystemsReliability: alpha 0.863 sample items

About this scale

A multi-item measure of how easily a user can be persuaded by AI-generated arguments and recommendations.

Sample item(s)

“I tend to be convinced by what AI tells me”
“AI's arguments influence my decisions”
“I find AI persuasive on topics I'm uncertain about”

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

Increasingly relevant in 2024+ AI-influence research.

Source & citation

Salvi, F., Ribeiro, M. H., Gallotti, R., & West, R. (2024): On the conversational persuasiveness of large language models: A randomized controlled trial. arXiv:2403.14380.

Salvi, F., Ribeiro, M. H., Gallotti, R., & West, R. (2024): On the conversational persuasiveness of large language models: A randomized controlled trial. arXiv:2403.14380.

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.

Use it in your research

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