This chapter provides an overview of research-oriented methods for detecting disinformation. It outlines existing techniques for identifying disinformation and highlights areas for enhancing methods. It focuses on automated detection methods, which are applied to various aspects of disinformation, including analysis of creators, users, content, and the social context. Furthermore, the chapter explores the use of outlier detection methods within the realm of disinformation detection. Key areas for improvement include event-invariant, early detection methods and techniques for handling high-dimensional data. The importance of interdisciplinary approaches is underscored as a means to address ongoing challenges in the field.