SOURCE-LINKED INTELLIGENCE
Towards Detecting AI-Assisted Responses in Online Surveys
The use of LLMs to complete online surveys impacts the validity of survey-based research, but detecting such usage remains underexplored. We introduce an initial benchmark dataset, namely ASURRE, for AI-assisted survey participation to capture usage strategies ranging from full generation and revision to persona-grounded agentic completion. Controlled by these strategies, LLM-assisted survey responses are generated using multiple LLMs on three real-world surveys in different disciplines, paired with genuine human responses. Our evaluation of existing machine-generated text (MGT) detectors show
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T15:27:04.000Z
First collected: 2026-09-20T08:40:59.508Z. This is not the publication date.