Measuring, Modeling, and Mitigating Cyberbullying

In this project we focus on measuring, modeling, and detecting cyberbullying activity on social networks.

Papers

Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior

Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos, and Nicolas Kourtellis.
ICWSM, 2018.

Mean Birds: Detecting Aggression and Bullying on Twitter

Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, and Athena Vakali.
WebSci, 2017.

Hate is not binary: Studying abusive behavior of #GamerGate on Twitter

Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, and Athena Vakali.
HyperText, 2017.

From risk factors to detection and intervention: a practical proposal for future work on cyberbullying

Andri Ioannou, Jeremy Blackburn, Gianluca Stringhini, Emiliano De Cristofaro, Nicolas Kourtellis, and Michael Sirivianos.
Behaviours and Information Technology, 2018.

Data

Dataset for the IWCSM 2018 paper