# CognitiveSky: Scalable Sentiment and Narrative Analysis for Decentralized Social Media

arXiv: https://arxiv.org/abs/2509.11444 · HTML: https://mlsanity.com/paper/2509.11444/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 23 references that are in the map.
- First posted on arXiv 14 Sep 2025.

## Builds on (most cited first, 4 of 4)

- [TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification](https://mlsanity.com/paper/2010.12421/) (2020)
- [Bluesky and the AT Protocol: Usable Decentralized Social Media](https://mlsanity.com/paper/2402.03239/) (2024)
- [Bluesky: Network Topology, Polarization, and Algorithmic Curation](https://mlsanity.com/paper/2405.17571/) (2024)
- [Coordinated Information Campaigns on Social Media: A Multifaceted Framework for Detection and Analysis](https://mlsanity.com/paper/2309.12729/) (2023)

## Built on by (most cited first, 2 of 2)

- [Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions](https://mlsanity.com/paper/2604.12138/) (2026)
- [Building Trustworthy Mental Health Benchmarks on Bluesky: A Validation-Aware Weak-Supervision Framework](https://mlsanity.com/paper/2609.22696/) (2026)

## Abstract (arXiv)

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.