Coordinated hate attacks (raids) on social networks are becoming an increasingly relevant problem. Unlike other types of attacks that are heavily automated and rely on bots (e.g., distributed denial of service attacks), raids are largely carried out by humans, making them harder to detect. In this project we focus on measuring and modeling raids carried out against social network users, with the goal of developing techniques that can mitigate their effect.
A First Look at ZoombombingChen Ling, Utkucan Balci, Jeremy Blackburn, and Gianluca Stringhini.
IEEE Symposium on Security and Privacy, 2021.
"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate AttacksEnrico Mariconti, Guillermo Suarez-Tangil, Jeremy Blackburn, Nicolas Kourtellis, Ilias Leontiadis, Jordi Luque, Emiliano De Cristofaro, and Gianluca Stringhini.
CSCW, 2019.
Kek, Cucks, and God Emperor Trump: A Measurement Study of 4chan's Politically Incorrect Forum and its Effects on the WebGabriel Emile Hine, Jeremiah Onaolapo, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Riginos Samaras, Gianluca Stringhini, and Jeremy Blackburn.
Best Paper Nominee
ICWSM, 2017.
What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?
Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, Haewoon Kwak, and Jeremy Blackburn.
CYBERSAFETY, 2018.