Detecting agro: Korean trolling and clickbaiting behaviour in online environments
Impacto
Scholar |
Otros documentos de la autoría: Been Choi, Eun; Kim, Jisu; Jeong, Dahye; Park, Eunil; del Pobil, Angel P.
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
comunitat-uji-handle4:
INVESTIGACIONEste recurso está restringido
https://doi.org/10.1177/01655515221074325 |
Metadatos
Título
Detecting agro: Korean trolling and clickbaiting behaviour in online environmentsFecha de publicación
2022-02-25Editor
SAGE Publications; CILIPISSN
0165-5515; 1741-6485Cita bibliográfica
Been Choi, E., Kim, J., Jeong, D., Park, E., & del Pobil, A. P. (2024). Detecting agro: Korean trolling and clickbaiting behaviour in online environments. Journal of Information Science, 50(1), 3-16.Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/publishedVersionResumen
This article presents one of the first approaches to provide the understanding of agro (one of the unique eye-attracting cues) headlines and thumbnails in online video sharing platform, YouTube. We annotated 1881 ... [+]
This article presents one of the first approaches to provide the understanding of agro (one of the unique eye-attracting cues) headlines and thumbnails in online video sharing platform, YouTube. We annotated 1881 headlines and thumbnails, based on agro and the type of agro. Then, we experimented with machine learning models to classify agro data from the non-agro data. With a bidirectional long short-term memory (Bi-LSTM) model, we achieved 84.35% of accuracy in detecting agro headlines and 82.80% of accuracy in detecting agro thumbnails. We believe that the automatic detection of agro headlines can allow users to have better experience in browsing through and getting the content that they want online. [-]
Publicado en
Journal of Information Science 1–14Entidad financiadora
Ministry of Science, ICT, Korea | National Research Foundation (NRF) of Korea
Código del proyecto o subvención
IITP-2021-0-02104 | IITP-2021-0-02104 | 2021R1A4A3022102
Derechos de acceso
© The Author(s) 2022
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
Aparece en las colecciones
- ICC_Articles [419]