This chapter delves into the transformative shift in communication research brought about by the advent of digital tools and methodologies. This chapter outlines the historical evolution of computational approaches in communication studies and underscores their significance in understanding the intricate dynamics of modern media landscapes. Readers are introduced to various computational methodologies, from network analysis to machine learning, and their applications in analyzing digital media content, patterns, and user interactions. The chapter also addresses the ethical implications of using digital methods, emphasizing the importance of transparency, privacy, and inclusivity. By showcasing contemporary case studies and highlighting future directions, this chapter establishes a comprehensive overview of state-of-the-art computational communication research, emphasizing its potential to offer deeper insights into the complexities of digital communication.