Online and Social Media Political Participation: Political Discussion Network Ties and Differential Social Media Platform Effects Over Time

IF 3 2区社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Social Science Computer Review Pub Date : 2025-04-19 DOI:10.1177/08944393251332640

Timilehin Durotoye, Manuel Goyanes, Rosa Berganza, Homero Gil de Zúñiga

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引用次数: 0

Abstract

Prior research has largely documented the overall mobilizing effects of social media news consumption and political discussion linked to citizens’ political participatory behaviors. However, limited empirical research has considered the informational and communicative effects to be contingent upon different social media platforms. Therefore, this study advances distinct theoretical affordances and effects of social media news use on online (by using online versions of legacy media outlets, blogs, and news apps) and social media political participation. Taking advantage of US comparative panel data, ordinary least squares (OLS) causal autoregressive regressions and panel autoregressive structural equation model tests cast a much-needed light on the diverse effects of Facebook, X, Snapchat, WhatsApp, Instagram, YouTube, and Reddit use for news over both political discussions with weak and strong ties, and political participation online and in social media. Moreover, results from two-step algorithmic cluster analysis clarify how these social media platforms generate different information and political behavior clusters of citizens, which also provide a comparative view of how social media platforms differently contribute to people’s public and political life in US democracy.

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网络与社交媒体政治参与：政治讨论、网络联系与不同时间的社交媒体平台效应

先前的研究在很大程度上记录了社交媒体新闻消费和政治讨论与公民政治参与行为相关的整体动员效应。然而，有限的实证研究认为，信息和交流效果取决于不同的社交媒体平台。因此，本研究提出了社交媒体新闻使用对在线（通过使用传统媒体渠道、博客和新闻应用程序的在线版本）和社交媒体政治参与的独特理论启示和影响。利用美国比较面板数据，普通最小二乘（OLS）因果自回归回归和面板自回归结构方程模型测试，揭示了Facebook、X、Snapchat、WhatsApp、Instagram、YouTube和Reddit在强弱关系的政治讨论以及在线和社交媒体上的政治参与中使用新闻的不同影响。此外，两步算法聚类分析的结果阐明了这些社交媒体平台如何产生不同的公民信息和政治行为集群，这也为社交媒体平台如何以不同的方式促进美国民主中人们的公共和政治生活提供了比较视角。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Social Science Computer Review 社会科学-计算机：跨学科应用

CiteScore

9.00

自引率

4.90%

发文量

审稿时长

>12 weeks

期刊介绍： Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.