Patterns of democracy? Social network analysis of parliamentary Twitter networks in 12 countries

Q1 Social Sciences Online Social Networks and Media Pub Date : 2021-07-01 DOI:10.1016/j.osnem.2021.100154
Stiene Praet , David Martens , Peter Van Aelst
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引用次数: 10

Abstract

Social media networks have revolutionized social science research. Yet, a lack of comparative empirical analysis of these networks leave social scientists with little knowledge on the role that contextual factors play in the formation of social relations. In this paper we perform a large-scale comparison of parliamentary Twitter networks in 12 countries to improve our understanding of the influence of the country’s democratic system on network behavior and elite polarization. One year of Twitter data was collected from all members of the parliament and government in these countries, which resulted in around two million tweets by almost 6000 politicians. Social network analysis of the Twitter interactions indicates that consensual democracies are characterized by more dense parliamentary relations but also higher hierarchy and fragmentation compared to majoritarian systems. Secondly, parliaments with a high effective number of parties are more cooperative, which results in higher inter-party relations. Next to that, we show differences in the followers, mentions, and retweets networks that hold across all countries and political systems. Our empirical results correspond to established theoretical insights and highlight the relevance of institutional context as well as the platform characteristics when conducting social media research. With this research we demonstrate the importance and the opportunities of social network analysis for comparative research.

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民主的模式?12个国家议会推特网络的社会网络分析
社交媒体网络彻底改变了社会科学研究。然而,由于缺乏对这些网络的比较实证分析,社会科学家对背景因素在社会关系形成中所起的作用知之甚少。在本文中,我们对12个国家的议会推特网络进行了大规模的比较,以提高我们对国家民主制度对网络行为和精英极化的影响的理解。研究人员从这些国家的所有议会成员和政府成员那里收集了一年的推特数据,结果是近6000名政客发布了大约200万条推特。对Twitter互动的社会网络分析表明,与多数民主制度相比,共识民主的特点是议会关系更密集,但也有更高的等级和分裂性。其次,有效政党数高的议会更具有合作性,从而导致更高的党际关系。除此之外,我们还展示了所有国家和政治制度下的关注者、提及和转发网络的差异。我们的实证结果与已有的理论见解相一致,并在进行社交媒体研究时突出了制度背景和平台特征的相关性。通过这项研究,我们证明了社会网络分析在比较研究中的重要性和机会。
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来源期刊
Online Social Networks and Media
Online Social Networks and Media Social Sciences-Communication
CiteScore
10.60
自引率
0.00%
发文量
32
审稿时长
44 days
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