Abstract
This study explores the use of language on social media. The researcher investigated the problems related to language that undergraduate students encounter when they socialise on cyber socialising platforms. The study also highlights the relationship between language and cyberbullying, incorporating AI tools used by cyber socialising platforms to explore their effectiveness in detecting improper linguistic communication on social media. The study employed a mixed methods approach, which entailed of a questionnaire and interviews to collect the desired data. 10 undergraduate students volunteered to be part of the interviews, and 70 students answered the questionnaire. The study showed that students encountered problems related to language, and for some students, these problems led to mental health issues. The following are some of the problems encountered by students when interacting on social media: slang, misinterpretation, grammar and spelling errors, informal language, fake news, language barriers, cyberbullying, discriminatory language, the difference between face-to-face communication and online communication, and AI tools such as natural language processing, having difficulties in detecting improper linguistic communication. The above-mentioned findings were discovered during the study.