Cyberbullying has grown into a widespread psychological encounter in the socio-technical era. The use of social media and technology has given perpetrators new ways to remain anonymous without fear of consequences to their actions. Studies have attempted to address the issue and tackle the problem of automated cyberbullying detection using various approaches. Due to the infancy of this stream of research, a comprehensive overview of the current state is needed. In this study, we conduct a systematic literature review to identify common practices and techniques used in automated cyberbullying research. We identify major challenges that have not been addressed in the literature. Finally, we provide suggestions on how to address these challenges and contribute to more accurate, automated cyberbullying detection methods.