AI Misinformation Concern
Information SystemsReliability: alpha 0.903 sample items
About this scale
A multi-item measure of concern that AI is increasing the prevalence of misinformation online — through deepfakes, AI-generated text, and synthetic media at scale.
Sample item(s)
“AI is making it harder to know what is true online”
“AI-generated content is contributing to a misinformation crisis”
“I cannot fully trust online information any more because AI can generate so much of it”
Reliability
Reported internal consistency: alpha 0.90. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Increasingly relevant in 2024–2026 election and news research.
Source & citation
Goldstein, J. A., Sastry, G., Musser, M., DiResta, R., Gentzel, M., & Sedova, K. (2023): Generative language models and automated influence operations. Stanford Internet Observatory.
Goldstein et al. (2023): Generative LLMs and influence operations. arXiv:2301.04246.
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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