Social media, which has become an active communication tool in today’s education, constitutes a fast and easy alternative to share information by bringing students and educational institutions together. Although the interaction between these participants could provide implicit feedback on education services, there is only limited research on identifying the trending topics about open and distance education. This study examines Twitter content to reveal the primary topics of social media conversations related to open and distance education in Turkey. An experimental research is conducted on a collection of 20,010 unique tweets matching #aöf and #açıköğretim hashtags. The user tweets in this collection, which consist of hashtags and actual tweet texts, are analyzed by two statistical inference methods. While the most frequently preferred hashtags in the education domain are determined by co-occurrence modeling, Latent Dirichlet Allocation is employed to extract the core topics of actual tweet texts. The performed analyses reveal that social media interactions in open and distance education are gathered around semantic clusters such as exams, registration periods, course materials, and exam results. Consequently, social media can be utilized to understand students’ problems and demands better, and thus the quality of distance education services can be enhanced.