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An NLP-assisted Bayesian time-series analysis for prevalence of Twitter cyberbullying during the COVID-19 pandemic
COVID-19 has brought about many changes in social dynamics. Stay-at-home orders and disruptions in school teaching can influence bullying behavior in-person and online, both of which leading to negative outcomes in victims. To study cyberbullying specifically, 1 million tweets containing keywords as...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Vienna
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016178/ https://www.ncbi.nlm.nih.gov/pubmed/36937491 http://dx.doi.org/10.1007/s13278-023-01053-4 |