INFO-I 505 SOCIAL MEDIA INFORMATICS (3 CR.)
Social media platforms and research on social media are both defined by their applications of algorithms and interpretations of human agents. This course emphasizes the interplay of these elements, drawing on techniques from linguistics and computational approaches such as natural language processing, network modeling and analysis, and vector space modeling.
2 classes found
Spring 2025
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 10933 | Open | 9:35 a.m.–10:55 a.m. | MW | I 107 | Paolillo J |
Thirteen Week / In Person
LEC 10933: Total Seats: 34 / Available: 4 / Waitlisted: 0
Lecture (LEC)
- Above class meets for the thirteen week session
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 35596 | Open | 4:45 p.m.–6:05 p.m. | MW | I 107 | Amon M |
Thirteen Week / In Person
LEC 35596: Total Seats: 35 / Available: 18 / Waitlisted: 0
Lecture (LEC)
- Above class meets for the thirteen week session
The popularization of social media provides unprecedented opportunities to understand individual and group processes, with interdisciplinary researchers applying increasingly diverse approaches to address societal challenges. This course centers on theoretical and methodological paradigms commonly applied to social media data, as well as emerging tools and best practices. The course begins by discussing the scope of social media, popular theories for understanding social media interactions. and an overview of relevant methods. The second portion of the course centers on data analytic frameworks that are fruitfully applied to social media data. In providing an overview of frequentist, nonlinear dynamical, network, and qualitative analyses, the class will weigh their pros and cons and differentiate their purposes.