认知天际：面向去中心化社交媒体的可扩展情感与叙事分析

摘要

去中心化社交媒体平台的出现为公众话语的实时分析带来了新的机遇与挑战。本研究介绍了CognitiveSky，一个开源且可扩展的框架，专为Bluesky——一个联邦制的Twitter或X.com替代平台——上的情感、情绪及叙事分析而设计。通过Bluesky的应用编程接口（API）获取数据，CognitiveSky运用基于Transformer的模型对大规模用户生成内容进行标注，并生成结构化、可分析的结果。这些汇总数据驱动了一个动态仪表板，可视化展示情绪、活动及话题讨论的演变模式。完全构建于免费层级基础设施之上，CognitiveSky实现了低运营成本与高可访问性。虽然本文以心理健康话题监测为例展示其功能，但其模块化设计使其能够应用于虚假信息检测、危机响应及公民情绪分析等多个领域。通过将大型语言模型与去中心化网络相结合，CognitiveSky为数字生态系统变迁时代的计算社会科学提供了一个透明、可扩展的工具。

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.

认知天际：面向去中心化社交媒体的可扩展情感与叙事分析

CognitiveSky: Scalable Sentiment and Narrative Analysis for Decentralized Social Media

摘要

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