  This study investigates and suggests typologies for examining Artificial
Intelligence (AI) within the domains of journalism and mass communication
research. We aim to elucidate the seven distinct subfields of AI, which
encompass machine learning, natural language processing (NLP), speech
recognition, expert systems, planning, scheduling, optimization, robotics, and
computer vision, through the provision of concrete examples and practical
applications. The primary objective is to devise a structured framework that
can help AI researchers in the field of journalism. By comprehending the
operational principles of each subfield, scholars can enhance their ability to
focus on a specific facet when analyzing a particular research topic.
