请问HN：你们如何在谷歌搜索结果中检测合规风险？
我正在尝试一种基于规则的方法来对谷歌搜索结果页面（SERP）片段进行分类（中立/不利/权威-监管），以用于合规和尽职调查的案例。<p>我遇到的一个问题是来自高权威来源的误报：单个监管机构的PDF文件或一项旧的执法行动可能会压倒数十个中立结果，即使上下文已经发生了实质性的变化。<p>对于从事开放源信息（OSINT）、风险或搜索分析的人员：你们通常如何在大规模中验证误报与真实的不利信号？你们是否以不同的方式权衡权威性，或者应用时间或上下文衰减？
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I’m experimenting with a rules-based approach to classify Google SERP snippets
(neutral / adverse / authority-regulatory) for compliance and due diligence use cases.<p>One issue I keep running into is false positives from high-authority sources:
a single regulator PDF or an old enforcement action can outweigh dozens of neutral results,
even when the context has materially changed.<p>For those working in OSINT, risk, or search analysis:
how do you usually validate false positives vs. true adverse signals at scale?
Do you weight authority differently, or apply temporal or contextual decay?