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Peiling Yi

Biographic Data

ID10093696
NAMEPeiling Yi
GIVEN NAMESPeiling
FAMILY NAMEYi
SIGNATUREYI P
AFFILIATIONSQueen Mary University of London
ORCID0000-0001-6680-6320
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Session-based cyberbullying detection in social media

    Open Access•Peiling Yi, Arkaitz Zubiaga•ARTICLE•Online Social Networks and Media•2023

    Cyberbullying is a pervasive problem in online social media, where a bully abuses a victim through a social media session. By investigating cyberbullying perpetrated through social media sessions, recent research has looked into mining patterns and features for modelling and understanding the two defining characteristics of cyberbullying: repetitive behaviour and power imbalance. In this survey paper, we define a framework that encapsulates four …

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  • Session-based cyberbullying detection in social media

    Open Access•Peiling Yi, Arkaitz Zubiaga•ARTICLE•Online Social Networks and Media•2023

    Cyberbullying is a pervasive problem in online social media, where a bully abuses a victim through a social media session. By investigating cyberbullying perpetrated through social media sessions, recent research has looked into mining patterns and features for modelling and understanding the two defining characteristics of cyberbullying: repetitive behaviour and power imbalance. In this survey paper, we define a framework that encapsulates four …

Artificial Intelligence (1 work) · Bullying, Victimization, and Aggression (1 work) · Computer Science (1 work) · Data science (1 work) · Hate Speech and Cyberbullying Detection (1 work) · Internet privacy (1 work) · Open research (1 work) · Social media (1 work) · Stalking, Cyberstalking, and Harassment (1 work) · World Wide Web (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae