<p>Social media platforms exert a significant influence on human behavior, shaping individual perspectives and decision-making processes. Events originating on these platforms can have substantial impacts on economic, political, cultural, and social dynamics. A key focus of contemporary scientific research is the analysis of social media data, particularly the prediction of user participation in online events. This survey provides a comprehensive review of the concepts, frameworks, datasets, and evaluation criteria used for predicting user participation in social media events. The study delves into fundamental concepts such as event definitions, relationship types, and event detection models within the context of social media events. Prediction frameworks include feature extraction and associated research methodologies. Evaluation criteria are analyzed through basic metrics and similarity measures. Datasets in this field include Graph-based, Event-based, and Text-based datasets, which have been fully reviewed. In conclusion, we discuss the challenges, advances, and emerging trends in topic-related research.</p>