Moreover, seven machine learning classifiers were used, namely, Logistic Regression (LR), Light Gradient Boosting Machine (LGBM), Stochastic Gradient Descent (SGD), Random Forest (RF), AdaBoost (ADB), Naive Bayes (NB), and Support Vector Machine (SVM). In this study, we attempted to explore this issue by compiling a global dataset of 37,373 unique tweets from Twitter. Therefore, detection of cyberbullying without the involvement of the victims is necessary. Many attempts have been introduced in the literature to intervene in, prevent, or mitigate cyberbullying however, because these attempts rely on the victims' interactions, they are practical. One of these issues is cyberbullying, which is a critical global issue that affects both individual victims and societies. The advent of social media, particularly Twitter, raises many issues due to a misunderstanding regarding the concept of freedom of speech.
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