Tauhid is an Associate Professor of Operations Management at the Yale School of Management. He received his BS, MEng, and PhD degrees in electrical engineering and computer science from the MIT Sloan School of Management. His research focuses on solving operational problems involving social network data using probabilistic models, network algorithms, and modern statistical methods. Some of the topics he studies in the social network space include predicting the popularity of content, finding online extremists, and geo-locating users.
New research from Yale SOM’s Tauhid Zaman suggests that starting by establishing common ground makes it possible to make connections and even change some minds.
The first part of my research in this area was about finding these extremist viewpoints or the bots trying to manipulate opinions—and just identify that there’s a problem. After detecting those opinion shifts, the next natural question is, ‘If they’re moving that way, could I move them the other way?’