{"title":"电子政务与意识形态极化:政治传播的跨国研究","authors":"James A. Danowski","doi":"10.1016/j.techsoc.2025.102998","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines the reciprocal relationship between e-government development and ideological polarization over a fourteen-year period, utilizing panel data from 2008 to 2022. We initially identified 314 country-year observations across 157 nations, of which 35 countries provided complete data on e-government capacity, ideological polarization, liberal democracy, and GDP per capita in both waves. Employing a two-wave cross-lagged panel model estimated via structural equation modeling (SEM) in R (lavaan, with FIML for missing data), we examined autoregressive stability and cross-lagged effects, both with and without controls for regime quality and economic development. Our results demonstrate strong temporal stability in both e-government (β ~ .76) and polarization (β ~ .70). Crucially, higher e-government capacity in 2008 predicts significantly lower polarization in 2022 (β ~ −.61, p < .01), an effect that persists after controlling for liberal democracy and GDP. In contrast, the reverse path—from 2008 polarization to 2022 e-government—remains insignificant (β ∼ -0.14, p > 0.10). Change-score analyses further reveal no direct association between EGDI growth and polarization change once economic growth is controlled for. These findings support a Theory of Digital Moderation, positioning e-government as an active agent in depolarizing political discourse. The study underscores the strategic value of investing in transparent, participatory digital governance to foster democratic cohesion.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 102998"},"PeriodicalIF":12.5000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"E-government and ideological polarization: A cross-national study of political communication\",\"authors\":\"James A. Danowski\",\"doi\":\"10.1016/j.techsoc.2025.102998\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study examines the reciprocal relationship between e-government development and ideological polarization over a fourteen-year period, utilizing panel data from 2008 to 2022. We initially identified 314 country-year observations across 157 nations, of which 35 countries provided complete data on e-government capacity, ideological polarization, liberal democracy, and GDP per capita in both waves. Employing a two-wave cross-lagged panel model estimated via structural equation modeling (SEM) in R (lavaan, with FIML for missing data), we examined autoregressive stability and cross-lagged effects, both with and without controls for regime quality and economic development. Our results demonstrate strong temporal stability in both e-government (β ~ .76) and polarization (β ~ .70). Crucially, higher e-government capacity in 2008 predicts significantly lower polarization in 2022 (β ~ −.61, p < .01), an effect that persists after controlling for liberal democracy and GDP. In contrast, the reverse path—from 2008 polarization to 2022 e-government—remains insignificant (β ∼ -0.14, p > 0.10). Change-score analyses further reveal no direct association between EGDI growth and polarization change once economic growth is controlled for. These findings support a Theory of Digital Moderation, positioning e-government as an active agent in depolarizing political discourse. The study underscores the strategic value of investing in transparent, participatory digital governance to foster democratic cohesion.</div></div>\",\"PeriodicalId\":47979,\"journal\":{\"name\":\"Technology in Society\",\"volume\":\"83 \",\"pages\":\"Article 102998\"},\"PeriodicalIF\":12.5000,\"publicationDate\":\"2025-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technology in Society\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0160791X25001885\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL ISSUES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X25001885","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
引用次数: 0
摘要
本研究利用2008年至2022年的面板数据,考察了14年间电子政务发展与意识形态两极分化之间的相互关系。我们最初确定了157个国家的314个国家-年度观察结果,其中35个国家提供了两次浪潮中电子政务能力、意识形态两极分化、自由民主和人均GDP的完整数据。采用R (lavaan)中通过结构方程建模(SEM)估计的两波交叉滞后面板模型,缺失数据使用FIML),我们检查了自回归稳定性和交叉滞后效应,无论有无制度质量和经济发展控制。结果表明,电子政务(β ~ 0.76)和极化(β ~ 0.70)具有较强的时间稳定性。关键是,2008年更高的电子政务容量预示着2022年显著降低的极化(β ~−)。61, p <;0.01),在控制了自由民主和GDP之后,这种效应仍然存在。相反,从2008年两极分化到2022年电子政府的反向路径仍然不显著(β ~ -0.14, p >;0.10)。变化得分分析进一步表明,一旦控制了经济增长,EGDI增长与两极分化变化之间没有直接联系。这些发现支持了数字节制理论,将电子政务定位为政治话语去极化的积极推动者。该研究强调了投资于透明、参与式数字治理以促进民主凝聚力的战略价值。
E-government and ideological polarization: A cross-national study of political communication
This study examines the reciprocal relationship between e-government development and ideological polarization over a fourteen-year period, utilizing panel data from 2008 to 2022. We initially identified 314 country-year observations across 157 nations, of which 35 countries provided complete data on e-government capacity, ideological polarization, liberal democracy, and GDP per capita in both waves. Employing a two-wave cross-lagged panel model estimated via structural equation modeling (SEM) in R (lavaan, with FIML for missing data), we examined autoregressive stability and cross-lagged effects, both with and without controls for regime quality and economic development. Our results demonstrate strong temporal stability in both e-government (β ~ .76) and polarization (β ~ .70). Crucially, higher e-government capacity in 2008 predicts significantly lower polarization in 2022 (β ~ −.61, p < .01), an effect that persists after controlling for liberal democracy and GDP. In contrast, the reverse path—from 2008 polarization to 2022 e-government—remains insignificant (β ∼ -0.14, p > 0.10). Change-score analyses further reveal no direct association between EGDI growth and polarization change once economic growth is controlled for. These findings support a Theory of Digital Moderation, positioning e-government as an active agent in depolarizing political discourse. The study underscores the strategic value of investing in transparent, participatory digital governance to foster democratic cohesion.
期刊介绍:
Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.