“You look like a Troll”: Using K-Means Algorithm with Trolling Score to Spot Trolling Behaviour
Saríah López-Fierro, Carlos Chiriboga-Calderón, José López-Fierro, Rubén Pacheco-Villamar · 2022
This work presents the results obtained after targeting down and following the Ecuadorian Presidential 2021 Election trolls. To achieve this, new tweets after the Elections were downloaded, and “trolling behavior” was spotted and measured, as an attempt to increase the accuracy of a K-Means Algorithm, to cluster Twitter trolls.