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research(cofacts.ai): Proofreader 檢討——資訊偏聽型與專業能力 Subagent 兩份研究 - #10

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research(cofacts.ai): Proofreader 檢討——資訊偏聽型與專業能力 Subagent 兩份研究#10
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@MrOrz MrOrz commented Jul 19, 2026

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摘要

針對 Cofacts.ai 現行政黨 proofreader PoC 的檢討,新增兩份可獨立延伸實作的研究報告至 src/research/cofacts.ai/

1. 資訊偏聽型 Proofreader:媒體環境模擬與動態記憶之設計研究

  • 以 Langfuse trace 實證(四黨 proofreader 各近 50 次呼叫、67 條完整 trace、118 則 user feedback)驗證「靜態 prompt = 刻板印象凍結」假設:KMT 零提及 2025/11 後路線、TPP 停留柯文哲時代框架且會主動中和當下黨的立場、DPP 有側翼化風險、小黨 agent 與 DPP 約 80% 重疊。
  • 同時證實 proofreader 對 writer 的影響是真實非儀式性的(可逐句對應的採納 + 健康的黨派框架過濾),並找出「草稿未傳入」等工程缺陷。
  • 評估 YouTube 頻道 ORID digest 動態記憶提案:方向正確;補議題立場帳本設計、將 500K token 預算修正為 30–80K、Langfuse prompt versioning 儲存、以及源自〈境外敵對勢力〉研究的治理紅線。

2. 專業能力 Subagent:台灣專業資料庫串接可行性研究

  • 架構決策:因 ADK built-in tool 限制,建議做成獨立 domain_specialist AgentTool 而非 investigator 工具;現階段不上 MCP。
  • 台灣專業資料庫 API 可用性盤點(165 涉詐網站清單、Google Fact Check Tools API、全國法規資料庫、食藥闢謠、氣象署/環境部/疾管署、司法院裁判書等)與三階段接入順序。

資料來源

  • Langfuse(langfuse.cofacts.tw)2026-05-01 ~ 07-18 traces/observations/scores
  • cofacts/ai repo adk/cofacts_ai/agent.pytools.py
  • 本 KB 三篇先行研究(雙重歷程、多代理人審議、境外敵對勢力防禦)
  • 各資料源官方文件(WebFetch 受環境限制,部分以 WebSearch 交叉查證,文中已標注實作前應複核)

🤖 Generated with Claude Code

https://claude.ai/code/session_01PQhuS5HoDhnPb77D1gU8s8


Generated by Claude Code

基於 Langfuse trace 實證(各黨 proofreader 近 50 次呼叫、67 條 trace、
118 則 user feedback)檢討現行政黨 proofreader PoC:

- 資訊偏聽型 Proofreader:驗證「刻板印象凍結」假設成立(KMT 零提及
  2025/11 後路線、TPP 停留柯文哲框架),評估 YouTube ORID digest 動態
  記憶提案,提出議題立場帳本、30-80K token 預算與治理紅線
- 專業能力 Subagent:獨立 domain_specialist AgentTool 架構決策,
  台灣專業資料庫(165/法規/食藥/氣象等)API 可用性盤點與接入順序

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PQhuS5HoDhnPb77D1gU8s8

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Code Review

This pull request introduces two comprehensive research and feasibility study documents for Cofacts.ai: one exploring the integration of Taiwanese professional databases (such as the 165 fraud database and national laws) as a subagent, and another proposing a dynamic, media-environment-simulating 'Proofreader' agent using YouTube digests. The review feedback focuses on minor grammatical corrections and phrasing improvements in both markdown files to enhance readability and technical precision.

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