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Updated: Jun 21, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
In-party love spreads more efficiently than out-party hate in online communities
Samuel Martin-Gutierrez1,2, José Manuel Robles Morales3, Mariano Torcal4
1Complexity Science Hub Vienna, Josefstaedter Str. 39, 1080, Vienna, Austria. martin.gutierrez@csh.ac.at.
Social media users show increasing political and ideological alignment online. While most create efficient "epistemic bubbles," a radical right-wing party
Area of Science:
- Computational Social Science
- Political Communication
- Social Network Analysis
Background:
- Political polarization and ideological segregation are growing concerns in digital public spheres.
- Social media platforms like Twitter facilitate the formation of online communities and information dissemination.
- Understanding network dynamics is crucial for analyzing political discourse and its societal impact.
Purpose of the Study:
- To analyze longitudinal trends in partisan and ideological homogeneity on Twitter during Spanish election campaigns (2015-2019).
- To investigate how party competition influences network homophily and the formation of 'epistemic bubbles' and 'partisan echo-chambers'.
- To assess the impact of the rise of a radical right-wing party (Vox) on Twitter's network structure and user behavior.
Main Methods:
- Conducted a comprehensive longitudinal social network analysis of Twitter data.
- Examined user interactions, retweeting patterns, and content sharing across four Spanish election campaigns.
- Quantified networking efficiency and ideological/partisan homophily within user networks.
Main Results:
- Observed a clear trend of increasing partisan and ideological homogeneity in user exchanges on Twitter.
- Identified high networking efficiency (average retweeting) contributing to 'epistemic bubbles' among mainstream party users.
- The emergence of Vox correlated with heightened ideological homogeneity and fostered distinct, low-efficiency 'partisan echo-chambers' characterized by out-partisan hostility.
Conclusions:
- Twitter network dynamics during Spanish elections show increasing ideological segregation and efficient 'epistemic bubbles'.
- While mainstream parties foster in-group reinforcement, the radical right-wing party's emergence created more hostile 'partisan echo-chambers'.
- Party competition dynamics can exacerbate homophily, but resistance to full transformation into echo-chambers persists for some user groups.
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