Supervised machine learning for the detection of troll profiles in twitter social network: application to a real case of cyberbullying

By Patxi Galán-García, José Gaviria de la Puerta, Carlos Laorden, Igor Santos, Pablo García Bringas. 2015

214 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Todor Mihaylov
2. Preslav Nakov
3. Agostino Poggi
4. Anette Frank
5. Ashish Sabharwal
6. Peter Clark
7. Tushar Khot
8. Luke S. Zettlemoyer

In Information Systems

1. Todor Mihaylov
2. Preslav Nakov
3. Agostino Poggi
4. Anette Frank

Citations in the corpus

• Hunting for Troll Comments in News Community Forums (2016, background): “Astroturfing and misinformation have been addressed in the context of political elections using microblogging data (Ratkiewicz et al., 2011), fake profile detection has been studied in the context of cyber-bullying (Galán-Garcı́a et al., 2014).”
• A Survey on Troll Detection (2020, background): “Occasionally, this kind of user turns out to be a troll [21].”