CognitiveSky: Scalable Sentiment and Narrative Analysis for
  Decentralized Social Media
Authors: name: Gaurab Chhetri, name: Anandi Dutta, name: Subasish Das

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.