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CS 598 RBO - Special Topics - Antisocial Computing

Campus: Urbana-Champaign

Description:

Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

Special Instructions:

In this course, we will present and critique research papers from HCI and NLP on detecting and discouraging abusive behavior on the Internet. Specifically, we will explore online moderation research through three lenses: understanding, building, and evaluating. First, we will survey the large spectrum of abusive behavior prevalent on the Internet, and understand how current research defines such behavior. Next, we will examine existing moderation tools built using computational techniques, like statistical machine learning, and social computing theory. Finally, we will review experimental studies, surveys and real-time deployments that evaluate the efficacy of moderation strategies.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Fall


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