The Vanishing Question: A Preliminary Content Analysis of Verification-Question Attenuation in AI-Generated FAQ Transformation of Public Subsidy Information Pages

This technical note presents a preliminary content analysis of verification-question attenuation in AI-generated FAQ transformation of public subsidy information pages. Using three public subsidy information pages previously examined in the “Vanishing” series, the study compares a standard FAQ transformation condition with a verification-question-preserving condition. A total of 34 Question Units were extracted and coded as preserved, weakened, misleadingly resolved, or omitted. The results show that verification questions were not uniformly removed. Many were preserved even under the standard FAQ condition. However, several cases of attenuation were observed, especially in condition-dependent contact points, expense distinctions, and conditions functioning differently across multiple contexts. The verification-question-preserving condition improved preservation but also produced minor supplementation and explanatory restructuring. This record includes the main technical note and supplementary materials. Japanese title:消える問い:公共補助金情報ページのAI生成FAQ化における確認問いの弱化に関する予備的内容分析 Contact: cognis.lab@outlook.com