Political Alignment Identification: a Study with Documents of Argentinian Journalists

Viviana Mercado; Andrea Villagra; Marcelo  Errecalde

doi:10.24215/16666038.20.e05

Authors

Viviana Mercado Universidad Nacional de la Patagonia Austral
Andrea Villagra Laboratorio de Tecnologías Emergentes, Instituto de Tecnología Aplicada, Unidad Académica Caleta Olivia, Universidad Nacional de la Patagonia Austral, Santa Cruz. Argentina
Marcelo Errecalde Laboratorio de Tecnologías Emergentes, Instituto de Tecnología Aplicada, Unidad Académica Caleta Olivia, Universidad Nacional de la Patagonia Austral, Santa Cruz. Argentina

DOI:

https://doi.org/10.24215/16666038.20.e05

Keywords:

Author Profiling, Exploratory Data Analysis (EDA), Journalist Political Alignment, LIWC, Text Mining

Abstract

Political alignment identification is an author profiling task that aims at identifying political bias/orientation in people’ writings. As usual in any automatic text analysis, a critical aspect here is having available adequate data sets so that the data mining and machine learning approaches can obtain reliable and informative results.
This article makes a contribution in this regard by presenting a new corpus for the study of political alignment in documents of Argentinian journalists. The
study also includes several kinds of analysis of documents of pro-government and opposition journalists such as the relevance of terms in each journalist class,
sentiment analysis, topic modelling and the analysis of psycholinguistic indicators obtained from the Linguistic Inquiry and Word Count (LIWC) system. From the experimental results, interesting patterns could be observed such as the topics both types of journalists write about, how the sentiment polarities are distributed and how the writings of pro-government and opposition journalists differ in the distinct LIWC categories.

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