<p>This research aims to conduct a scoping review on the use of machine learning in the social media marketing domain. Machine learning has become an increasingly important field in digital marketing strategies. In the context of social media marketing, the use of machine learning can help in user data analysis, consumer behavior identification, content personalization, and marketing campaign optimization. Scoping review is a research method used to identify and map the scope of available literature on a particular topic. This research will adopt the scoping review method with the following steps: First, conduct a systematic search through literature databases such as academic journals, conferences, and other relevant sources to identify studies that have been conducted on the use of machine learning in social media marketing. Then, selection and inclusion of studies that meet the inclusion criteria will be done. Relevant data will be extracted and synthesized to provide a comprehensive picture of the use of machine learning in social media marketing. This scoping review method will provide a broad understanding of the use of machine learning in social media marketing. The results of this scoping review can help researchers and marketing practitioners in understanding the trends, applications, and challenges in adopting machine learning in social media marketing strategies. In addition, this research can also identify knowledge gaps and future research directions needed to advance the use of machine learning in social media marketing.</p>