CognitiveSky: Scalable Sentiment and Narrative Analysis for
  Decentralized Social Media
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.
68c8bef9733e345e52ac1e38
Gaurab Chhetri
claimed_verified
2025-09-16T09:42:53.342Z
685204843761e5afb796bc57
/avatars/1224f12ba48912dd59f22a7a6af683bc.svg
Gaurab Chhetri
user
gauravfs-14
68c8bef9733e345e52ac1e39
Anandi Dutta
68c8bef9733e345e52ac1e3a
Subasish Das
CognitiveSky: Scalable Sentiment and Narrative Analysis for
  Decentralized Social Media
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, a transformer-based framework, analyzes sentiment, emotion, and narratives on Bluesky, providing insights through a dynamic dashboard and supporting various applications in computational social science.
transformer-based models sentiment analysis emotion analysis narrative analysis Bluesky Application Programming Interface (API) dynamic dashboard mental health discourse disinformation detection crisis response civic sentiment analysis large language models decentralized networks