Cuando la negatividad es el combustible. Bots y polarización política en el debate sobre el COVID-19

Abstract

Para ello, se han aplicado técnicas de «Social Big Data Analysis»: algoritmos de «machine learning» para conocer el posicionamiento de los usuarios;algoritmos de detección de «bots»;técnicas de «topic modeling» para conocer los temas del debate en la red, y análisis de sentimiento. The main objective of this research is to analyze the role that these automated agents played in the debate on social networks about the Spanish Government's management of the global COVID-19 pandemic. For this, Social Big Data Analysis techniques were applied: machine learning algorithms to know the positioning of users;bot detection algorithms;topic modeling techniques to learn about the topics of the debate on the web, and sentiment analysis. COVID-19, political bots, political polarization, digital propaganda, public opinion, social networks analysis.