Master of Science in Communication Seminar Topics (529-0-2)

Topic

AI for Social Media

Instructors

Ayse Deniz Lokmanoglu

Meeting Info

Frances Searle Building 3220: Sa 2:00PM - 5:00PM

Overview of class

Social media is the space where organizations, publics, and algorithms interact, generating vast amounts of data every second—from online reviews of local businesses to comments on viral content and digitally mediated public debates. As artificial intelligence increasingly shapes how social media content is created, circulated, and interpreted, organizations must understand how AI influences both communication and public response.

This course offers a hands-on introduction to using AI-enabled and Python-based computational approaches to examine social media data and organizational communication. Students will learn how coding-based methods can be used to collect, analyze, and interpret social media data, enabling them to listen to publics, identify patterns in online discourse, and evaluate engagement across platforms. Through real-world cases, the course emphasizes critical and ethical engagement with AI-mediated data and insights. By the end of the course, students will use AI-supported analysis to inform and evaluate social media strategies in organizational and public communication contexts.

Class Attributes

Face to face: In person, in campus space

Enrollment Requirements

Enrollment Requirements: Only students in the MSC Custom Leadership Program may enroll in this class.