Eugene Jang
Assistant Professor
School of Communication
College of Liberal Arts
Office Location
Eugene Jang
Assistant Professor
School of Communication
College of Liberal Arts
Currently Teaching
COMM-356
Critical Practice in Social Media
3 Credits
With the advent of virtual communities, smart mobs, and online social networks, questions about the meaning of human communication and how we construct our online and offline personal and professional identities need to be reevaluated. This course explores the relationship between social media and the construction of both individual and social identities as well as best practices for constructing the desired community or identity. Although the course is grounded in theory, it is equally committed to practice, and much of the class discussion and activity takes place in various online spaces. As a practicum, those who complete this course will know how to engage productively in practices such as tweeting, blogging, tagging, etc. and will develop an understanding of how these practices affect their construction of identity and community both personally and on behalf of an organization.
COMM-605
Social Media Analytics and Research
3 Credits
This course focuses on social media research and ethics of applying various methodological approaches to study public data, users and messages. Students will be introduced to a variety of techniques and concepts used to obtain, monitor and evaluate social media content with a focus on how the analytics could inform communication strategies. During the course, students will also learn how to design and evaluate social media-based research studies.
COMM-717
Artificial Intelligence and Communication
3 Credits
Communication has been impacted by automation and advances in information technology, and now artificial intelligence is changing how we interact with socio-technical systems. In this course, we will explore historical, ethical, computational, and cultural perspectives to understand the implications of algorithmic processes on communication and society. During the course, students will learn how to analyze various digital products and identify the potential consequences of algorithmic systems on various demographics.