  This tutorial aims to cover the state-of-the-art on stance detection and
address open research avenues for interested researchers and practitioners.
Stance detection is a recent research topic where the stance towards a given
target or target set is determined based on the given content and there are
significant application opportunities of stance detection in various domains.
The tutorial comprises two parts where the first part outlines the fundamental
concepts, problems, approaches, and resources of stance detection, while the
second part covers open research avenues and application areas of stance
detection. The tutorial will be a useful guide for researchers and
practitioners of stance detection, social media analysis, information
retrieval, and natural language processing.
