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An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter Cyberbullying During the COVID-19 Pandemic. (arXiv:2208.04980v1 [cs.SI])
cs.LG updates on arXiv.org arxiv.org
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
associated with abuse were collected from the beginning of 2019 to the end of
2021 with the Twitter API search endpoint. A natural language processing model
pre-trained on a Twitter corpus generated probabilities for the tweets being
offensive and …
analysis arxiv bayesian covid covid-19 cyberbullying nlp pandemic series time time series twitter