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How do you keep online trolls in check? Ban them? Require real names?

Dr. Srijan Kumar, a post-doctoral research fellow in computer science at Stanford University, is developing an AI that predicts online conflict. His research uses data science and machine learning to promote healthy online interactions and curb deception, misbehavior, and disinformation.

His work is currently deployed inside Indian e-commerce platform Flipkart, which uses it to spot fake reviewers. We spoke to Dr. Kumar ahead of a lecture on healthy online interactions at USC.

Dr. Kumar, how do you counteract online harassment using data science and machine learning? How does your system identify the trolls?
In my research, I build data science and machine learning methods to address online misbehavior, which transpires as false information and malicious users. My methods have a dual purpose: first, to characterize their behavior, and second, to detect them before they damage other users. I have been able to investigate a wide variety of online misbehavior, including fraudulent reviews, hoaxes, online trolling, and multiple account abuse, among others. Read more...

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