User Identity Linkage in Social Media Using Linguistic and Social Interaction Features
Social media users often hold several accounts in their effort to multiply the spread of their thoughts, ideas, and viewpoints. In the particular case of objectionable content, users tend to create multiple accounts to bypass the combating measures enforced by social media platforms and thus retain their online identity even if some of their accounts are suspended. User identity linkage aims to reveal social media accounts likely to belong to the same natural person so as to prevent the spread of abusive/illegal activities. To this end, this work proposes a machine learning-based detection model, which uses multiple attributes of users' online activity in order to identify whether two or more virtual identities belong to the same real natural person. The models efficacy is demonstrated on two cases on abusive and terrorism-related Twitter content.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Graph Neural Networks for User Identity Linkage
The increasing popularity and diversity of social media sites has encouraged more and more people to participate in multiple online social networks to enjoy their services. Each user may create a user identity to represe…
Graph Neural NetworkCorrelation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
With the rise of social media and Location-Based Social Networks (LBSN), check-in data across platforms has become crucial for User Identity Linkage (UIL). These data not only reveal users' spatio-temporal information bu…
RLINK: Deep Reinforcement Learning for User Identity Linkage
User identity linkage is a task of recognizing the identities of the same user across different social networks (SN). Previous works tackle this problem via estimating the pairwise similarity between identities from diff…
Deep Reinforcement Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage
User identity linkage across social networks is an essential problem for cross-network data mining. Since network structure, profile and content information describe different aspects of users, it is critical to learn ef…
Graph Neural NetworkAye or naw, whit dae ye hink? Scottish independence and linguistic identity on social media
Political surveys have indicated a relationship between a sense of Scottish identity and voting decisions in the 2014 Scottish Independence Referendum. Identity is often reflected in language use, suggesting the intuitiv…
Attribute