Mapping the digitalisation of European political parties

政治 民主 政治学 功能可见性 民间社会 代表(政治) 社会学 公共行政 公共关系 法学 计算机科学 人机交互
作者
Giulia Sandri,Fabio García Lupato,Marco Meloni,Felix von Nostitz,Óscar Barberá
出处
期刊:Information, Communication & Society [Routledge]
卷期号:: 1-22 被引量:6
标识
DOI:10.1080/1369118x.2024.2343369
摘要

An increasing number of comparative case studies explore the drivers and impacts of digital technologies on political parties (Bennet et al., 2018. The democratic interface: Technology, political organization, and diverging patterns of electoral representation. Information Communication & Society, 21(11), 1655–1680; Gerbaudo, 2019. The digital party: Political organisation and online democracy. Pluto Press), but a large comparative account on how parties are changing due to digitalisation is still lacking. Based on the new Digitalisation in Parties (DIGIPART) Dataset developed by the authors, this paper addresses this gap by empirically assessing the use of digital platforms and their affordances in 62 parties in five European countries (France, Italy, Germany, United Kingdom and Spain). Building on previous research by Fitzpatrick (2021. The five-pillar model of parties' migration into the digital. In O. Barberà, G. Sandri, P. Correa, & J. Rodríguez-Teruel (Eds.), Digital parties: The challenges of online organisation and participation (pp. 23–42). Springer Nature), the aim is to measure variations in the patterns of digitalisation of party activities, and to preliminary explore the relevance of some systemic and intra-organizational factors in shaping the use of party digital innovations (Lupato & Meloni, 2023. Digital intra-party democracy: An exploratory analysis of Podemos and the Labour Party. Parliamentary Affairs, 76(1), 22–42; Raniolo, Vittori and Tarditi 2021. Political parties and new digital technologies: Between tradition and innovation. In O. Barberà, G. Sandri, P. Correa, & J. Rodríguez-Teruel (Eds.), Digital parties: The challenges of online organisation and participation (pp. 181–204). Springer Nature). The preliminary results show that digital solutions are starting to be adopted as a facilitator of internal participation and that larger and older parties seem to be more digitalised than newer and smaller ones.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
今晚打老虎完成签到,获得积分10
刚刚
iiio完成签到 ,获得积分10
1秒前
决明发布了新的文献求助10
2秒前
小毛线发布了新的文献求助10
2秒前
华仔应助ALAI采纳,获得10
2秒前
2秒前
3秒前
大模型应助sh采纳,获得30
3秒前
Lzx完成签到,获得积分10
3秒前
3秒前
FashionBoy应助ghqwe采纳,获得10
4秒前
重要的如霜完成签到,获得积分20
4秒前
青己完成签到 ,获得积分10
5秒前
张张完成签到,获得积分10
5秒前
星辰大海应助Makula采纳,获得10
5秒前
22333发布了新的文献求助10
5秒前
Gabi发布了新的文献求助20
5秒前
dongpy11发布了新的文献求助10
6秒前
跳跃的酒窝完成签到,获得积分10
6秒前
完美世界应助忆之采纳,获得10
7秒前
赵雅钰完成签到,获得积分10
7秒前
7秒前
7秒前
三金同学完成签到,获得积分10
7秒前
7秒前
wuqi完成签到,获得积分10
7秒前
7秒前
科研通AI6.2应助细心沛山采纳,获得10
7秒前
zzh完成签到,获得积分10
8秒前
浅海111完成签到,获得积分10
10秒前
10秒前
10秒前
搜集达人应助aishangkeyan采纳,获得10
10秒前
逢考必过完成签到,获得积分10
10秒前
小新发布了新的文献求助10
10秒前
姜恒发布了新的文献求助10
11秒前
11秒前
派总派总大星完成签到,获得积分10
11秒前
张张发布了新的文献求助10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6362877
求助须知:如何正确求助?哪些是违规求助? 8176794
关于积分的说明 17229878
捐赠科研通 5417776
什么是DOI,文献DOI怎么找? 2866848
邀请新用户注册赠送积分活动 1844062
关于科研通互助平台的介绍 1691695