Georgia Tech Machine-Learning Tool Predicts Hate Speech Against Asian-Americans During COVID-19

Lisa Rayam | WABE

June 17th, 2020

School of Computational Science and Engineering assistant professor Srijan Kumar and his team started on Twitter in January, and analyzed 31 million social media posts for hate speech, from 7.8 million users globally.

Matt Rourke, File / Associated Press

Top Stories

Week In Review

WABE’s Week In Review: Willis taken off Trump case and some Amazon workers hit the picket line

pro-Palistian and Cop City protesters

Higher Ed

Georgia chancellor has a theory about application growth. Data tells a more complex story.

Okefenokee

U.S. nominating Okefenokee National Wildlife Refuge to UNESCO World Heritage site list

Cryptocurrency

Georgia secretary of state issues cease and desist against crypto company Trage for securities fraud

Metro Atlanta

The 50 sentences that explained Atlanta in 2024

Criminal Justice

'Tough-on-crime' policies takes serious toll on Black youth in Georgia, SPLC says

WABE’s mission is simple: “Inform, inspire, reflect and empower our greater Atlanta community. ” We do that through the news, information, and entertainment we bring you via radio and TV, on your phone, in your car, on your smart speaker, or online at the new WABE.org—anywhere and everywhere throughout greater Atlanta. And we can only do this with your help. Please consider becoming a member of WABE today.

Ways you can help us in our mission