TY - JOUR
T1 - Online and Social Media Political Participation
T2 - Political Discussion Network Ties and Differential Social Media Platform Effects Over Time
AU - Durotoye, Timilehin
AU - Goyanes, Manuel
AU - Berganza, Rosa
AU - Gil de Zúñiga, Homero
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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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U2 - 10.1177/08944393251332640
DO - 10.1177/08944393251332640
M3 - Review article
AN - SCOPUS:105002955773
SN - 0894-4393
JO - Social Science Computer Review
JF - Social Science Computer Review
ER -