Abstract
Cyberbullying is a type of cybercrime that involves the use of the internet and other information technology resources to deliberately insult, embarrass, harass, bully, and threaten people online. The ubiquity of internet connectivity has enabled an increase in the volume and pace of cyberbullying activities because the criminals no longer need to be physically present when committing the crime. This work aims to analyze and predict cyberbullying on Facebook using Naïve Bayes algorithm. The score accuracy, classification report, and confusion matrix are also employed to assess the performance of the classifier. The accuracy of the classifier is 0.95(95%) which means the model can predict 95 of every 100 instances correctly. Also, the result of the experimental analysis shows that Naïve Bayes is effective in classifying a word into a bully or non-bully word and can identify the category of the bully word that is being sent online.
Highlights
Social networking sites are evolving and continuously gaining widespread adoption among thousands and millions of people around the world daily
On the swear_word, the algorithm recorded 1.00, 0.67, and 0.80 as precision, recall and F1 – score respectively, while recorded no measurement for the threat-related words. These results indicate that Naïve Bayes is effective and efficient in predicting cyberbullying related words using text mining techniques
As one of the social media platforms where cyberbullying activities take place, has a privacy policy that allows a user to choose the number of people that view their posts and comments but many users are ignorant of the privacy policy
Summary
Social networking sites are evolving and continuously gaining widespread adoption among thousands and millions of people around the world daily. The widespread adoption is due to its ability to connect people by eliminating distance among the parties and enables real-time information dissemination to a large number of people [1]. Social media is a form of computer-mediated communication that is used to connect a large number of people in different geographical locations. Anyone with enable technology and internet access can be part of social media and share opinions [2]. According to [3], Facebook is one of the popular social media platforms to reach over 1 billion active users monthly as at the third quarter of 2012 and 2.7 billion active users in the second quarter of 2020. Studies show that users spend about 35minutes on Facebook every day
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