Abstract
The use of social media in society continues to increase over time and the ease of access and familiarity of social media then make it easier for an irresponsible user to do unethical things such as spreading hatred, defamation, radicalism, pornography so on. Although there are regulations that govern all the activities on social media. However, the regulations are still not working effectively. In this study, we conducted a classification of toxic comments containing unethical matters using the SVM method with TF-IDF as the feature extraction and Chi Square as the feature selection. The best performance result based on the experiment that has been carried out is by using the SVM model with a linear kernel, without implementing Chi Square, and using stemming and stopwords removal with the F1 − Score equal to 76.57%.
Highlights
In this digital era, information and communication technology is developing rapidly, including social media
Based on a survey conducted by Hootsuite, in 2020, internet usage in Indonesia increased by 17% compared to the previous year, reaching 175.4 million people of which 160.0 million were active users on social media such as YouTube at 88%, WhatsApp by 84%, Facebook at 82%, Instagram at 79%, and Twitter at 56% [2]
It could lead to social media misused by irresponsible peoples, either a person or a group of people, to spread hatred, racist comments, radicalism or extreme ideology, pornography, defamation, and so on, even though there is a legal that limits social media usage
Summary
Information and communication technology is developing rapidly, including social media. Social media is one of the means that a person uses to interact with each other by giving, sharing, and exchanging information or ideas in a virtual network [1]. It could lead to social media misused by irresponsible peoples, either a person or a group of people, to spread hatred, racist comments, radicalism or extreme ideology, pornography, defamation, and so on, even though there is a legal that limits social media usage. This phenomenon leads some of the researchers to distinguish some different types of toxicity in a comment to avoid undesirable things
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal on Information and Communication Technology (IJoICT)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
