Predicting online participation through Bayesian network analysis.

ABSTRACT: Despite the fact that preconditions of political participation were thoroughly examined before, there is still not enough understanding of which factors directly affect political participation and which factors correlate with participation due to common background variables. This article scrutinises the causal relations between the variables associated with participation in online activism and introduces a three-step approach in learning a reliable structure of the participation preconditions' network to predict political participation. Using Bayesian network analysis and structural equation modeling to stabilise the structure of the causal relations, the analysis showed that only age, political interest, internal political efficacy and no other factors, highlighted by the previous politic

SUBMITTER: Kopacheva E 

PROVIDER: S-EPMC8699968 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature