Ideological and Temporal Components of Network Polarization in Online Political Participatory Media
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Abstract (arXiv)
Political polarization is traditionally analyzed through the ideological stances of groups and parties, but it also has a behavioral component that manifests in the interactions between individuals. We present an empirical analysis of the digital traces of politicians in politnetz.ch, a Swiss online platform focused on political activity, in which politicians interact by creating support links, comments, and likes. We analyze network polarization as the level of intra- party cohesion with respect to inter-party connectivity, finding that supports show a very strongly polarized structure with respect to party alignment. The analysis of this multiplex network shows that each layer of interaction contains relevant information, where comment groups follow topics related to Swiss politics. Our analysis reveals that polarization in the layer of likes evolves in time, increasing close to the federal elections of 2011. Furthermore, we analyze the internal social network of each party through metrics related to hierarchical structures, information efficiency, and social resilience. Our results suggest that the online social structure of a party is related to its ideology, and reveal that the degree of connectivity across two parties increases when they are close in the ideological space of a multi-party system.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Mar 2015.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 1.
4 papers.
- 2021Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsitycited by 9
- 2021Capturing Stance Dynamics in Social Media: Open Challenges and Research Directionscited by 4
- 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideologycited by 1
- 2024A More Advanced Group Polarization Measurement Approach Based on LLM-Based Agents and Graphscited by 1
- 2024A More Advanced Group Polarization Measurement Approach Based on LLM-Based Agents and Graphs19 Nov 2024
- 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology14 Dec 2022
- 2021Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions1 Sep 2021
- 2021Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity18 Apr 2021