TOWARD THE CATEGORIZATION OF ONLINE POLITICAL PREJUDICES: THE CASE OF THE NEW BRUNSWICK 2020 PROVINCIAL ELECTION.

This paper is qualitative case study of political prejudices on the internet. Negative social media remarks received by candidates in the 2020 New Brunswick provincial election were analyzed. The paper presents a typology for classifying such comments and offers a model for comprehending online prej...

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Publicado en:Journal of New Brunswick Studies / Revue d'etudes sur le Nouveau-Brunswick Vol. 15; no. 2; pp. 1 - 18
Autor principal: McLaughlin, Gilbert
Formato: Artículo
Publicado: Journal of New Brunswick Studies Fall2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        au: McLaughlin, Gilbert
        affil: Lecturer in Criminology in Liverpool Hope University
      su:
        Social media
        Prejudices
        Political science
        Provinces
        New Brunswick
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          New Brunswick
          Social media
          Prejudices
          Political science
          Provinces
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        This paper is qualitative case study of political prejudices on the internet. Negative social media remarks received by candidates in the 2020 New Brunswick provincial election were analyzed. The paper presents a typology for classifying such comments and offers a model for comprehending online prejudices, employing grounded theory techniques. Analysis of the comments reveals some of the challenges faced by contemporary political figures.
        Cet article est une étude de cas qualitative sur les préjudices politiques sur internet. Les remarques négatives sur les médias sociaux reçues par les candidats lors des élections provinciales du Nouveau-Brunswick en 2020 ont été analysées. En utilisant les techniques de théorisation ancrée, l'article présente une typologie pour classer de tels commentaires et propose un modèle pour comprendre les préjugés en ligne. L'analyse des commentaires révèle certains des défis auxquels sont confrontés les personnalités politiques contemporaines.
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    language: English
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