Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5910. Information Ecosystem Threats

3.00 credits

Prerequisites: Open to graduate students in the Computer Science and Engineering program, others with consent.

Grading Basis: Graded

Review of the recent literature and in-depth discussions of the near and medium term risks to the online information ecosystem, and will engage in a student-directed, publication-quality project to analyze social media discourse using ML, NLP, and network science approaches. Topics covered will include mis- and disinformation, controversy and polarization, malinformation (e.g. doxxing), bots and bot-human partnerships, and conspiracy theories. Guest speakers will provide unique perspectives on these issues, including in CSE and from other disciplines. We will briefly touch on philosophical questions of knowability and epistemology, and discuss the connection between Information Disorders and the emerging field of AI alignment.

Last Refreshed: 23-FEB-24 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Fall 2024 4925 Storrs In Person Dori-Hacohen, Shiri 001 Reg TuTh 3:30pm‑4:45pm
0/25 ITE 127 3.00 Graded