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The epistemological impacts of big data on public opinion studies

Pedro Neris Luiz Caldas Vinicius Romanini; International Conference on Advanced Research Methods and Analytics - CARMA (3. 2020 Valencia)

Proceedings Valencia, 2020

Valencia 2020

Acesso online

  • Título:
    The epistemological impacts of big data on public opinion studies
  • Autor: Pedro Neris Luiz Caldas
  • Vinicius Romanini; International Conference on Advanced Research Methods and Analytics - CARMA (3. 2020 Valencia)
  • Assuntos: OPINIÃO PÚBLICA (RELAÇÕES PÚBLICAS); BIG DATA; Public Opinion; Polls; Mining; Epistemological Impacts
  • É parte de: Proceedings Valencia, 2020
  • Notas: Disponível em: http://ocs.editorial.upv.es/index.php/CARMA/CARMA2020/paper/view/11644. Acesso em: 17 set. 2020
  • Descrição: In this work, we seek to highlight and describe the main differences between traditional public opinion polls (made by using methods and techniques traditionally undertaken in the social sciences, such as questionnaires and interviews), and those accomplished through methodological processes made possible by the adoption of big data. We ensure a special focus on the consequences brought about by the use of nonparametric analysis over parametric analysis to show how big data is impacting not only the methodological aspects but the epistemological basis of public opinion studies in general
  • Editor: Valencia
  • Data de criação/publicação: 2020
  • Formato: p. 343.
  • Idioma: Inglês

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