Cyberbully Detection Survey: Malay-English Glossary of Cyberbullying Incidents

• Main Authors: Din M.M., Rahim F.A., Anwar R.M., Bakar A.A., Latif A.A.
• Other Authors: 55348871200
• Format: Conference Paper
• Published: Springer Science and Business Media Deutschland GmbH 2024
• Subjects: Cyberbullying; Cyberbullying detection; Machine learning; Text extraction; Computer crime; Glossaries; Auto-detection; Cyber bullying; Cyberbully; English languages; Machine-learning; Malay languages; Malaysians

This article presents the results of a survey conducted to elicit keywords or phrases relating to cyberbullying incidents in both English and Malay languages commonly used in Malaysian society. The keywords or phrases can be utilized as a Malay and English cyberbullying glossary in the development of an auto-detection cyberbullying tool. A set of questionnaires were distributed among 329 respondents ages 15�30�years in Malaysia in the form of an online survey over one-and-a-half-month starting 1 November 2021. This study was conducted to test the items� reliability using Cronbach�s alpha values. There are three (3) Sections to this questionnaire