SocialPulse: An Open-Source Subreddit Sensemaking Toolkit

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Birkelbach, Stephanie, Teleki, Maria, Carragher, Peter, Dong, Xiangjue, Bhatnagar, Nehul, Caverlee, James
Formato: Preprint
Publicado: 2026
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866912885920235520
author Birkelbach, Stephanie
Teleki, Maria
Carragher, Peter
Dong, Xiangjue
Bhatnagar, Nehul
Caverlee, James
author_facet Birkelbach, Stephanie
Teleki, Maria
Carragher, Peter
Dong, Xiangjue
Bhatnagar, Nehul
Caverlee, James
contents Understanding how online communities discuss and make sense of complex social issues is a central challenge in social media research, yet existing tools for large-scale discourse analysis are often closed-source, difficult to adapt, or limited to single analytical views. We present SocialPulse, an open-source subreddit sensemaking toolkit that unifies multiple complementary analyses -- topic modeling, sentiment analysis, user activity characterization, and bot detection -- within a single interactive system. SocialPulse enables users to fluidly move between aggregate trends and fine-grained content, compare highly active and long-tail contributors, and examine temporal shifts in discourse across subreddits. The demo showcases end-to-end exploratory workflows that allow researchers and practitioners to rapidly surface themes, participation patterns, and emerging dynamics in large Reddit datasets. By offering an extensible and openly available platform, SocialPulse provides a practical and reusable foundation for transparent, reproducible sensemaking of online community discourse.
format Preprint
id arxiv_https___arxiv_org_abs_2602_07248
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle SocialPulse: An Open-Source Subreddit Sensemaking Toolkit
Birkelbach, Stephanie
Teleki, Maria
Carragher, Peter
Dong, Xiangjue
Bhatnagar, Nehul
Caverlee, James
Social and Information Networks
Understanding how online communities discuss and make sense of complex social issues is a central challenge in social media research, yet existing tools for large-scale discourse analysis are often closed-source, difficult to adapt, or limited to single analytical views. We present SocialPulse, an open-source subreddit sensemaking toolkit that unifies multiple complementary analyses -- topic modeling, sentiment analysis, user activity characterization, and bot detection -- within a single interactive system. SocialPulse enables users to fluidly move between aggregate trends and fine-grained content, compare highly active and long-tail contributors, and examine temporal shifts in discourse across subreddits. The demo showcases end-to-end exploratory workflows that allow researchers and practitioners to rapidly surface themes, participation patterns, and emerging dynamics in large Reddit datasets. By offering an extensible and openly available platform, SocialPulse provides a practical and reusable foundation for transparent, reproducible sensemaking of online community discourse.
title SocialPulse: An Open-Source Subreddit Sensemaking Toolkit
topic Social and Information Networks
url https://arxiv.org/abs/2602.07248