Google Trends of political parties in Europe: a fractal exploration

Gutierrez-Barroso Josue (), Báez-García Alberto Javier (), Flores-Muñoz Francisco (), Ruiz Medina Luis Javier (), Trujillo González Juan Vianney () and Padrón-Armas Ana Goretty ()
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Gutierrez-Barroso Josue: Universidad de La Laguna, Tenerife, Spain
Báez-García Alberto Javier: Universidad de La Laguna, Tenerife, Spain
Flores-Muñoz Francisco: Facultad de Economía, Empresa y Turismo – Universidad de La Laguna, Campus de Guajara, Cam. la Hornera, s/n, 38071 La Laguna, Santa Cruz de Tenerife
Ruiz Medina Luis Javier: Universidad de La Laguna, Tenerife, Spain
Trujillo González Juan Vianney: Universidad de La Laguna, Tenerife, Spain
Padrón-Armas Ana Goretty: Universidad de La Laguna, Tenerife, Spain

Central European Journal of Public Policy, 2024, vol. 18, issue 1, 24-36

Abstract: Google Trends, despite its controversial nature for some authors, can be considered an illustrative tool in exploring the political inclinations of a given audience. In the current European Union context, understanding the views and opinions of the public is of paramount importance. Through the analysis of search trends, Google Trends can provide valuable insights into the popularity of political parties in the context of the European Union along with other jurisdictions and how these trends change over time. Furthermore, by incorporating fractal dimensions and ARFIMA (Autoregressive Fractionally Integrated Moving Average) analysis into the data obtained, it is possible to reveal previously non-evident relationships, thereby providing a more comprehensive understanding of the audience‘s political leanings and their interest in specific political parties. The aim of this exploratory study is to assess the potential of ARFIMA, applied to Google Trends data, in characterizing political parties. Preliminary results indicate that this apparatus can be useful for that purpose.

Keywords: Google Trends; political parties; European Union; fractal dimensions; ARFIMA analysis (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:cejopp:v:18:y:2024:i:1:p:24-36:n:1002

DOI: 10.2478/cejpp-2024-0002

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