Predictors of online and offline activism in hybrid regime society – Serbian study.

In Serbia, categorized as a hybrid or semi‐authoritarian system by Freedom House, exploring activism is crucial. Two cross‐sectional studies were conducted to examine predictors of online and offline civic activism in a society favouring punitive measures and limiting open dialogue. The first study...

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Publicado en:British Journal of Psychology Vol. 116; no. 3; pp. 525 - 553
Autores principales: Pedović, Ivana, Pejičić, Marija, Đorić, Stefan
Formato: Artículo
Publicado: Wiley-Blackwell Aug2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2025
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        atl: Predictors of online and offline activism in hybrid regime society – Serbian study.
      aug:
        au:
          Pedović, Ivana
          Pejičić, Marija
          Đorić, Stefan
        affil: Department of Psychology, Faculty of Philosophy, University of Niš, Niš, Serbia
      su:
        Serbia
        World Wide Web
        Cross-sectional method
        Power (Social sciences)
        Government policy
        Personality assessment
        Motivation (Psychology)
        Practical politics
        Conscience
        Sociodemographic factors
        Honesty
        Political participation
        Patient participation
        Scale analysis (Psychology)
        Statistical correlation
        Research funding
        Descriptive statistics
        Application software
        Confidence intervals
        Regression analysis
      sug:
        subj:
          World Wide Web
          Cross-sectional method
          Power (Social sciences)
          Government policy
          Personality assessment
          Motivation (Psychology)
          Practical politics
          Conscience
          Sociodemographic factors
          Honesty
          Political participation
          Patient participation
          Serbia
          Software Publishers
          Software publishers (except video game publishers)
          Custom Computer Programming Services
          Internet Publishing and Broadcasting and Web Search Portals
          Scale analysis (Psychology)
          Statistical correlation
          Research funding
          Descriptive statistics
          Application software
          Confidence intervals
          Regression analysis
      keyword:
        hybrid regime
        individual differences
        offline activism
        online activism
        hybrid regime
        individual differences
        offline activism
        online activism
      ab: In Serbia, categorized as a hybrid or semi‐authoritarian system by Freedom House, exploring activism is crucial. Two cross‐sectional studies were conducted to examine predictors of online and offline civic activism in a society favouring punitive measures and limiting open dialogue. The first study involved 1107 participants (65.1% female, 33.2% male and 1.6% in other categories; Mage = 28.15 years), while the second included 2306 individuals (67.5% female, 30.2% male and 2.3% in other categories; Mage = 28.1 years). We modelled the relationship between predictor variables and a dependent variable at different quantiles of the distribution (25th, 50th, 75th and quantile marked with theoretical middle points of online and activism scales) using quantile regression. Results highlighted perceived policy control, social generativity and conscientiousness as key predictors across different levels of both online and offline activism. Personality traits like extroversion, neuroticism and honesty have different effects on online versus offline activism, suggesting different motivations. Additionally, future‐oriented people participate more offline. The quantile regression, analysing coefficients at different points in the distribution, offered valuable insights into manifestations of activism. These findings are discussed highlighting the complex dynamic of different factors in shaping civic engagement in Serbia's challenging sociopolitical landscape.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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