Experiments on 250 participants show LLM-assisted survey responses range from under 10% on Prolific to over 80% on Mechanical Turk, with identifiable characteristics and partial mitigation effects.
Detecting the corruption of online questionnaires by artificial intelligence.Frontiers in Robotics and AI, 10:1277635, February 2024
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A Penny for Your Prompts: Experiments Detecting and Mitigating LLM Usage by Survey Respondents
Experiments on 250 participants show LLM-assisted survey responses range from under 10% on Prolific to over 80% on Mechanical Turk, with identifiable characteristics and partial mitigation effects.