# Echo-chambers and Idea Labs: Communication Styles on Twitter

arXiv: https://arxiv.org/abs/2403.19423 · HTML: https://mlsanity.com/paper/2403.19423/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 8 of its 23 references that are in the map.
- First posted on arXiv 28 Mar 2024.

## Builds on (most cited first, 8 of 8)

- [TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification](https://mlsanity.com/paper/2010.12421/) (2020)
- [Yara Parser: A Fast and Accurate Dependency Parser](https://mlsanity.com/paper/1503.06733/) (2015)
- [Quantifying Controversy in Social Media](https://mlsanity.com/paper/1507.05224/) (2015)
- [The closed loop between opinion formation and personalised recommendations](https://mlsanity.com/paper/1809.04644/) (2018)
- [A Generalized and Adaptive Method for Community Detection](https://mlsanity.com/paper/1406.2518/) (2014)
- [Latent Poisson models for networks with heterogeneous density](https://mlsanity.com/paper/2002.07803/) (2020)
- [Network structure and patterns of information diversity on Twitter](https://mlsanity.com/paper/1607.06795/) (2016)
- [Grounding force-directed network layouts with latent space models](https://mlsanity.com/paper/2110.11772/) (2021)

## Built on by (most cited first, 1 of 1)

- [Structuring the Space of Perspectives](https://mlsanity.com/paper/2608.12113/) (2026)

## Abstract (arXiv)

This paper investigates the communication styles and structures of Twitter (X) communities within the vaccination context. While mainstream research primarily focuses on the echo-chamber phenomenon, wherein certain ideas are reinforced and participants are isolated from opposing opinions, this study reveals the presence of diverse communication styles across various communities. In addition to the communities exhibiting echo-chamber behavior, this research uncovers communities with distinct communication patterns. By shedding light on the nuanced nature of communication within social networks, this study emphasizes the significance of understanding the diversity of perspectives within online communities.