构建透明的 AI 管道:使用 Claude API 进行 59 周的自动化政治评分

📄 中文摘要

一个自动化的 AI 管道已经运行超过一年,能够处理新闻文章,将其聚类为政治事件,并在两个独立的维度上对每个事件进行评分。政治事件的两个维度分别是造成的制度损害程度(民主健康)和获得的媒体关注程度(分散经济)。当这两个维度严重不匹配时,重要信息可能被忽视。为此,开发了“分散指数”来自动检测这些差距,旨在提高政治事件分析的透明度和准确性。

📄 English Summary

Building a Transparent AI Pipeline: 59 Weeks of Automated Political Scoring with Claude API

An automated AI pipeline has been running for over a year, processing news articles, clustering them into political events, and scoring each event on two independent axes. The two dimensions of political events are the extent of institutional damage (democratic health) and the level of media attention (distraction economics). When these two dimensions are wildly mismatched, important information may be overlooked. To address this, the Distraction Index was developed to automatically detect these gaps, aiming to enhance the transparency and accuracy of political event analysis.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等