CognitiveSky：面向去中心化社交媒体的可擴展情感與敘事分析

摘要

去中心化社交媒體平台的興起，為公共話語的實時分析帶來了新的機遇與挑戰。本研究介紹了CognitiveSky，這是一個開源且可擴展的框架，專為Bluesky（一個聯邦制的Twitter或X.com替代平台）上的情感、情緒及敘事分析而設計。通過Bluesky的應用程序接口（API）獲取數據，CognitiveSky運用基於Transformer的模型來標註大規模用戶生成內容，並生成結構化且可分析的輸出結果。這些摘要驅動了一個動態儀表板，可視化情緒、活動及話題討論的演變模式。CognitiveSky完全建立在免費層級的基礎設施之上，實現了低運營成本和高可訪問性。雖然本文展示了其在心理健康話語監控中的應用，但其模塊化設計使其能夠跨領域應用，如虛假信息檢測、危機響應及公民情緒分析。通過將大型語言模型與去中心化網絡相結合，CognitiveSky為數字生態系統變革時代的計算社會科學提供了一個透明、可擴展的工具。

English

The emergence of decentralized social media platforms presents new opportunities and challenges for real-time analysis of public discourse. This study introduces CognitiveSky, an open-source and scalable framework designed for sentiment, emotion, and narrative analysis on Bluesky, a federated Twitter or X.com alternative. By ingesting data through Bluesky's Application Programming Interface (API), CognitiveSky applies transformer-based models to annotate large-scale user-generated content and produces structured and analyzable outputs. These summaries drive a dynamic dashboard that visualizes evolving patterns in emotion, activity, and conversation topics. Built entirely on free-tier infrastructure, CognitiveSky achieves both low operational cost and high accessibility. While demonstrated here for monitoring mental health discourse, its modular design enables applications across domains such as disinformation detection, crisis response, and civic sentiment analysis. By bridging large language models with decentralized networks, CognitiveSky offers a transparent, extensible tool for computational social science in an era of shifting digital ecosystems.

CognitiveSky：面向去中心化社交媒体的可擴展情感與敘事分析

CognitiveSky: Scalable Sentiment and Narrative Analysis for Decentralized Social Media

摘要

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