Towards an analysis of the polarity of Big Data

Abstract

Social research on recent technological developments, such as "big data" or artificial intelligence, point to
a certain ambivalence or bipolarity in the different spheres of communication where they are referred to, or
even in the common sense of the different social groups. Thus, for example, there is a rhetoric favorable to
these technologies that identifies them with some opportunities for different commercial sectors, such as
industry 4.0, or with the benefits that they could bring in the medical field; At the same time, a critical discourse points out the risks involved in terms of advancing privacy, media and political manipulation, or the origin of new inequalities or situations of injustice. In this paper we propose a polarity analysis on a corpus of sentences that include the term "big data", constructed from news collected from Argentine online newspapers. In particular, we propose two approaches that combined will allow a more robust analysis: Analysis through the use of lexicons and dictionaries, another through the use of classifiers. This work will allow us to classify the sentences to deepen the understanding of this topic.

Keywords: Big data, classifiers, artificial intelligence.