Work

Characterizing, Detecting, and Predicting Online Ban Evasion

Year: 2022
Type: conference-paper
Abstract: Moderators and automated methods enforce bans on malicious users who engage in disruptive behavior. However, malicious users can easily create a new account to evade such bans. Previous research has focused on other forms of online deception, like the simultaneous operation of multiple accounts by the same entities (sockpuppetry), impersonation of other individuals, and studying the effects of de-platforming individuals and communities. Here we conduct the first data-driven study of ban evasion, i.e., the act of circumventing bans on an online platform, leading to temporally disjoint operation of accounts by the same user.
Authors: Manoj Niverthi, Gaurav Verma, Srijan Kumar
Language: English
Open Access status: bronze
OpenAlex ID: W4224312403
FWCI: 1.34
Cites: 37
Cited by: 10
Related to: 10