Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1232
Title: Cyber-Aggression, Cyberbullying, and Cyber-grooming
Authors: Mladenovic, Miljana
Ošmjanski, Vera
Vujičić Stanković, Staša 
Affiliations: Informatics and Computer Science 
Keywords: automatic hate speech detection;Cyber-Aggression;cyber-grooming;cyber-predators;cyberbulluing
Issue Date: 2022
Rank: M21a
Journal: ACM Computing Surveys
Abstract: 
Cyber-Aggression, cyberbullying, and cyber-grooming are distinctive and similar phenomena that represent the objectionable content appearing on online social media. Timely detection of the objectionable content is very important for its prevention and reduction. This article explores and spotlights diversity of definitions of cyber-Aggression, cyberbulling, and cyber-grooming; analyzes current categorization systems and taxonomies; identifies the targets, target categories, and subcategories of the subjects of the objectionable content research; analyzes the ambiguity of the linguistic terms in the domain; reviews present databases gathered for researching the field; explores types of features used for modeling systems for automatic detection; and examines methods for automatic detection and/or prediction of the objectionable content. The results point to directions of system development for tracing transformations of objectionable content over time on different online social platforms.
URI: https://research.matf.bg.ac.rs/handle/123456789/1232
ISSN: 03600300
DOI: 10.1145/3424246
Appears in Collections:Research outputs

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