Logo do repositório
 
Publicação

Towards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analysis of Aggressiveness and Conflicts/Attacks Datasets from Twitter

2024Artigo científico Acesso aberto
Ver registo simples
dc.contributor.authorFerreira, Paula
dc.contributor.authorSalgado Pereira, Nádia
dc.contributor.authorRosa, Hugo
dc.contributor.authorOliveira, Sofia
dc.contributor.authorCoheur, Luísa
dc.contributor.authorFrancisco, Sofia
dc.contributor.authorSouza, Sidclay B.
dc.contributor.authorRibeiro, Ricardo
dc.contributor.authorCarvalho, João P.
dc.contributor.authorPaulino, Paula
dc.contributor.authorTrancoso, Isabel
dc.contributor.authorVeiga Simão, Ana
dc.date.accessioned2025-02-06T09:42:22Z
dc.date.available2025-02-06T09:42:22Z
dc.date.issued2024
dc.description.abstractOffense and hate speech are a source of online conflicts which have become common in social media and, as such, their study is a growing topic of research in machine learning and natural language processing. This article presents two Portuguese language offense-related datasets that deepen the study of the subject: an Aggressiveness dataset and a Conflicts/Attacks dataset. While the former is similar to other offense detection related datasets, the latter constitutes a novelty due to the use of the history of the interaction between users. Several studies were carried out to construct and analyze the data in the datasets. The first study included gathering expressions of verbal aggression witnessed by adolescents to guide data extraction for the datasets. The second study included extracting data from Twitter (in Portuguese) that matched the most frequent expressions/words/sentences that were identified in the previous study. The third study consisted in the development of the Aggressiveness dataset, the Conflicts/Attacks dataset, and classification models. In our fourth study, we proposed to examine whether online aggression and conflicts/attacks revealed any trend changes over time with a sample of 86 adolescents. With this study, we also proposed to investigate whether the amount of tweets sent over a period of 273 days was related to online aggression and conflicts/attacks. Lastly, we analyzed the percentage of participants who participated in the aggressions and/or attacks/conflicts.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFerreira, P., Pereira, N., Rosa, H., Oliveira, S., Coheur, L., Francisco, S., Souza, S., Ribeiro, R., Carvalho, J. P., Paulino, P., Trancoso, I., & Veiga-Simão, A. M. (2024). Towards cyberbullying detection: Building, benchmarking and longitudinal analysis of aggressiveness and conflicts/attacks datasets from Twitter. IEEE Transactions on Affective Computing. https://doi.org/10.1109/TAFFC.2024.3518587pt_PT
dc.identifier.doi10.1109/TAFFC.2024.3518587pt_PT
dc.identifier.eissn1949-3045
dc.identifier.urihttp://hdl.handle.net/10400.5/98143
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationResearch Center for Psychological Science
dc.relationInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/10804011pt_PT
dc.subjectAggressionpt_PT
dc.subjectOffensept_PT
dc.subjectHate speechpt_PT
dc.subjectSocial networkspt_PT
dc.subjectNatural language processingpt_PT
dc.subjectDatasetpt_PT
dc.titleTowards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analysis of Aggressiveness and Conflicts/Attacks Datasets from Twitterpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberPTDC/PSI-GER/1918/2020
oaire.awardNumberUIDB/04527/2020
oaire.awardNumberUIDP/04527/2020
oaire.awardNumberUIDB/50021/2020
oaire.awardTitleResearch Center for Psychological Science
oaire.awardTitleInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FPSI-GER%2F1918%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04527%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Programático/UIDP%2F04527%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT
oaire.citation.endPage15pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleIEEE Transactions on Affective Computingpt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Programático
oaire.fundingStream6817 - DCRRNI ID
person.familyNameda Costa Ferreira
person.familyNameSalgado Pereira
person.familyNameViegas de Oliveira Francisco
person.familyNameSouza
person.familyNameRibeiro
person.familyNameTrancoso
person.familyNameVeiga Simão
person.givenNamePaula Alexandra Nunes
person.givenNameNádia
person.givenNameAna Sofia
person.givenNameSidclay B.
person.givenNameRicardo
person.givenNameIsabel
person.givenNameAna
person.identifierABA-4721-2020
person.identifier.ciencia-id7115-EC2B-AEAC
person.identifier.ciencia-idD51D-0274-36E0
person.identifier.ciencia-id751C-A03E-4F6F
person.identifier.ciencia-id771D-DE47-EB63
person.identifier.ciencia-idE11F-57B6-72C9
person.identifier.ciencia-id3816-04FD-C6E5
person.identifier.orcid0000-0001-8679-4566
person.identifier.orcid0000-0002-1695-6352
person.identifier.orcid0000-0003-3941-1387
person.identifier.orcid0000-0003-3727-3793
person.identifier.orcid0000-0002-2058-693X
person.identifier.orcid0000-0001-5874-6313
person.identifier.orcid0000-0003-3652-5573
person.identifier.ridN-1121-2016
person.identifier.scopus-author-id57158847600
person.identifier.scopus-author-id54974120700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication6791e802-c14a-4f23-a3b5-c8244a5cd62e
relation.isAuthorOfPublication81e42a9c-6f71-444c-8720-28359bcc223a
relation.isAuthorOfPublicationa2aeeb85-e437-4634-8880-99c245eca244
relation.isAuthorOfPublication7fc0fe50-b79b-4c1a-9bb0-b950ea227575
relation.isAuthorOfPublicationc227a974-9672-4a63-8bc4-73e302aab67d
relation.isAuthorOfPublication0c78b1c8-377c-4f3f-af42-aa9e22583689
relation.isAuthorOfPublicationf67b94cb-c09e-4ee8-b70b-fb1433d73e4e
relation.isAuthorOfPublication.latestForDiscovery0c78b1c8-377c-4f3f-af42-aa9e22583689
relation.isProjectOfPublicationb9cd1815-76dd-4e86-b605-c2061c7e3688
relation.isProjectOfPublication36f36272-922b-4858-9f5e-3db12cc5f84b
relation.isProjectOfPublicationb9480317-3aed-4ea4-9e42-64799b8d80fe
relation.isProjectOfPublicationfd115ebe-db61-41f1-8a53-84bf1761d88e
relation.isProjectOfPublication.latestForDiscoveryb9480317-3aed-4ea4-9e42-64799b8d80fe

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
Ferreira et al 2024b.pdf
Tamanho:
930.21 KB
Formato:
Adobe Portable Document Format
Ver/Abrir
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.2 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Ver/Abrir

Coleções

FP - Artigos em Revistas Internacionais