DIGIPART - 一个试点数据集,探索政治政党的数字化
Marco Meloni1, Fabio G Lupato2, Felix von Nostitz3
1University of Southampton. University Road, SO17 1BJ Southampton, United Kingdom.
Data in brief
|November 24, 2025
概括
DIGIPART数据集量化了COVID-19后五个欧洲国家的政党数字化. 本资源探讨了党的数字化如何影响民主创新和政治参与.
科学领域:
- 政治科学 政治科学是指政治学.
- 计算社会科学 计算社会科学
- 数字化政策 数字化政策
背景情况:
- 政党越来越多地采用数字技术.
- 了解政党数字化的范围和影响对于当代政治学至关重要.
- 现有的研究强调了数字化的关键方面,但缺乏全面的跨国数据集.
研究的目的:
- 为了引入DIGIPART (各方数字化) 数据集,版本1.1.
- 提供欧洲主要国家各个关键层面的政党数字化的定量概述.
- 促进对数字化对政党和民主创新的影响进行比较研究.
主要方法:
- 数据收集涉及分析76个政党的网站,宣言,新闻稿和二次来源.
- 信息是在2021年至2022年之间收集和编码的.
- 数据集围绕政党数字化的理论支柱构成:选举,审议,参与,资源,沟通和组织.
主要成果:
- DIGIPART数据集提供了一种新的,可量化的,跨多个维度的政党数字化衡量标准.
- 它涵盖了法国,意大利,德国,英国和西班牙的76个政党.
- 数据允许探索影响和受到党的数字化影响的因素,包括民主创新.
结论:
- DIGIPART数据集作为一个有价值的试点资源,用于研究政党数字化.
- 它允许对数字化趋势及其对民主进程的影响进行定量,比较分析.
- 该数据集旨在未来扩展,包括更多的国家和地区,促进更广泛的研究.
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