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Towards Detecting AI-Assisted Responses in Online Surveys

Paper recorded by Signals 4 on 2026-09-15 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-15 on arXiv · recorded by Signals 4 on 2026-09-16

Category: cs.CL · 自然语言处理 · first seen 2026-09-16

Abstract

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 respo

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#31 most recent of 186 cs.CL papers we have recorded · ↑ newer: Vroom-Vroom at SHROOM-Visions: A Multi-Judge Committee for Detecting H · ↓ older: Zero-shot narrative detection in social messaging
Cite this page: Towards Detecting AI-Assisted Responses in Online Surveys: the #31 most recent of 186 cs.CL papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/towards-detecting-ai-assisted-responses-in-online-surveys.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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