Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1232
DC FieldValueLanguage
dc.contributor.authorMladenovic, Miljanaen_US
dc.contributor.authorOšmjanski, Veraen_US
dc.contributor.authorVujičić Stanković, Stašaen_US
dc.date.accessioned2022-09-29T16:12:28Z-
dc.date.available2022-09-29T16:12:28Z-
dc.date.issued2022-
dc.identifier.issn03600300-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/1232-
dc.description.abstractCyber-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.en_US
dc.relation.ispartofACM Computing Surveysen_US
dc.subjectautomatic hate speech detectionen_US
dc.subjectCyber-Aggressionen_US
dc.subjectcyber-groomingen_US
dc.subjectcyber-predatorsen_US
dc.subjectcyberbulluingen_US
dc.titleCyber-Aggression, Cyberbullying, and Cyber-groomingen_US
dc.typeArticleen_US
dc.identifier.doi10.1145/3424246-
dc.identifier.scopus2-s2.0-85102664450-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85102664450-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.description.rankM21aen_US
dc.relation.firstpage1en_US
dc.relation.lastpage42en_US
dc.relation.volume54en_US
dc.relation.issue1en_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeArticle-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.orcid0000-0002-7200-3724-
Appears in Collections:Research outputs
Show simple item record

SCOPUSTM   
Citations

55
checked on Dec 18, 2024

Page view(s)

34
checked on Dec 24, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.