Big data, algoritmos y política: las ciencias sociales en la era de las redes digitales

Felipe González

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Big data, algorithms and politics: the social sciences in the era of social media

Authors

Felipe González Universidad Central de Chile http://orcid.org/0000-0002-7666-1281

No. 65 (2019): September

Abstract

The article offers a state of art about the empirical study of the relationship between politics and social media during the last decade, from the point of view of the nature of the subject, new research techniques and methods used in the social sciences, the research agendas it has fostered, and some of the ethical dilemmas this research raises. The article is divided in three main parts. Firstly, we develop a discussion of the main research methods to approach the relationship between politics and digital media, big data and algorithms, which we compare with traditional opinion polls. Secondly, we offer a review of the main issues that have guided this research agenda during the last ten years: political representation and campaigns, emerging political communities, and new forms of collective action. Finally, the last section reflects on the ethical dilemmas and debates that arise from the utilization of new research methods in the social sciences.

Keywords:

politics, social media, big data, algorithms, opinion survey

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How to Cite

González, F. (2019). Big data, algorithms and politics: the social sciences in the era of social media. Cinta De Moebio. Revista De Epistemología De Ciencias Sociales, (65), 267–280. Retrieved from https://actascoloquiogiannini.uchile.cl/index.php/CDM/article/view/54210