Litcius/Paper detail

Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube

Adewale Obadimu, Tuja Khaund, Esther Mead, Thomas Marcoux, Nitin Agarwal

2021Information Processing & Management58 citationsDOIOpen Access PDF

Topics & Concepts

Latent Dirichlet allocationSocial mediaTopic modelSentiment analysisSocial network (sociolinguistics)Coronavirus disease 2019 (COVID-19)Computer scienceSet (abstract data type)Work (physics)Social network analysisInternet privacyContent analysisData scienceWorld Wide WebSociologyInformation retrievalArtificial intelligenceEngineeringMedicineSocial scienceMechanical engineeringProgramming languageDiseasePathologyInfectious disease (medical specialty)Hate Speech and Cyberbullying DetectionSocial Media and Politics
Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube | Litcius