社交媒体极化反映了巴基斯坦政治联盟的演变
Social media polarization reflects shifting political alliances in Pakistan
AI总结：
本研究通过分析2018至2022年巴基斯坦Twitter数据，揭示了政治家互动模式与反对派联盟趋同，证明社交媒体可有效监测政治极化与联盟演变。
摘要：
近年来，公共话语中意识形态分歧的加剧引起了广泛关注。然而，大部分研究集中于西方民主国家，其他地区在很大程度上未被探索。在此，我们深入探讨巴基斯坦的政治格局，这是一个以复杂的政治动态和持续的动荡为特征的国家。从2018年到2022年，我们对Twitter数据的分析使我们能够捕捉巴基斯坦政治舞台上的关键转变和发展。通过考察隶属于主要政党的政治家所生成的互动和内容，我们揭示了政治家在Twitter上持续且活跃的存在，反对党表现出尤为强烈的参与度。我们探索了政党受众的联盟，突显了反对派阵营随时间的显著趋同。我们的分析还揭示了政治归属的重大转变，包括政治家向反对派联盟的过渡。在定量方面，我们评估了不断演变的互动模式，展示了同质性连接的普遍性，同时识别出反对党受众之间日益增长的相互联系。我们的研究通过准确反映政治格局的转变，强调了我们的方法论和社交媒体数据作为监测政治极化并提供对宏观趋势和个体转变细致理解的可靠工具的价值。
英文摘要：
The rise of ideological divides in public discourse has received considerable attention in recent years. However, much of this research has been concentrated on Western democratic nations, leaving other regions largely unexplored. Here, we delve into the political landscape of Pakistan, a nation marked by intricate political dynamics and persistent turbulence. Spanning from 2018 to 2022, our analysis of Twitter data allows us to capture pivotal shifts and developments in Pakistan's political arena. By examining interactions and content generated by politicians affiliated with major political parties, we reveal a consistent and active presence of politicians on Twitter, with opposition parties exhibiting particularly robust engagement. We explore the alignment of party audiences, highlighting a notable convergence among opposition factions over time. Our analysis also uncovers significant shifts in political affiliations, including the transition of politicians to the opposition alliance. Quantitatively, we assess evolving interaction patterns, showcasing the prevalence of homophilic connections while identifying a growing interconnection among audiences of opposition parties. Our study, by accurately reflecting shifts in the political landscape, underscores the reliability of our methodology and social media data as a valuable tool for monitoring political polarization and providing a nuanced understanding of macro-level trends and individual-level transformations.
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