The purpose of this paper is to discuss if and how Brazilian media outlets make use of automated strategies and artificial intelligence (AI) in order to produce convenient social media metrics about themselves and amplify their relevance on Twitter. We examine how media bots can manipulate online ratings, change social perception of what is relevant and increase engagement with both on- and offline media entities. We extracted three types of data: (i) 530,942 tweets containing at least one URL from Globo Group or Folha Group collected via Twitter API; (ii) URL metadata from 158,690 articles by Globo Group and Folha Group; (iii) Twitter trending topics in Brazil. Profiles that posted links were later sampled and classified using the Botometer. [ … ]
[ LEIA ] Communication Studies