Trustworthy Social Media

This project is a collaboration between machine learning researchers and social scientists. It is a joint effort by a group of undergraduates, graduate students, postdocs, and professors. Meet our team members here! Check our medium posts for further reading here!

We aim to use AI techniques for building a more trustworthy social media. We work on online trolling detection, public discussion monitoring, social network analysis, and so on. Our research asks: what a healthier public communication environment would be like in this era? And how can machine learning help?

Here are some featured projects:

Contributors: Maya Srikanth, Sara Kangaslahti, Danny Ebanks, Shunto J. Kobayashi, Shiyu Zhang, Nicholas Adams-Cohen, Jian Cao, Jean Kossaifi, Mike Alvarez, and Anima Anandkumar.