Affiliation:
1. Universidad Internacional de la Rioja, Spain
Abstract
This study examines the characteristics and behaviours of accounts that propagate hate speech through their responses to articles posted on five leading digital news media in Spain on Platform X (previously Twitter). Using non-experimental quantitative research, we analysed 1345 hate-expressing messages from 173,449 user comments on content shared in five leading digital news media during January 2021. Network analysis, the Homophilic Exposure Index (HEI), regression analysis and the k-means algorithm were used to identify features that characterize accounts that disseminate low-intensity hate expressions in a coordinated manner, undermining the moderation efforts of digital news media. As a result, digital news media must develop strategies to reduce the presence of this type of expression and confront accounts that operate covertly in a coordinated manner, using Astroturfing to manipulate debates around the content published on X.
Funder
Ministerio de Ciencia y Tecnología