Assistant Professor of Computer Science Sarah Ita Levitan, who also holds an appointment at the CUNY Graduate Center for Computer Science and Linguistics, won the award for her research project “News or Opinion: Fine-Grained Analysis of Text Data to Inform Online Readers.” She shares the grant with co-principal investigator Shweta Jain,  an associate professor of Computer Science at the Graduate Center and John Jay College of Criminal Justice.

The project aims to develop computational models that help users determine the trustworthiness of online content by distinguishing between opinions and facts in text. As trust in media declines and the spread of fake news and misinformation rises, it is critical to develop tools to help identify potentially untrustworthy content.

This year’s winning projects — each of which will receive $80,000 in direct funding and another $20,000 in Google Cloud services — are led by 11 faculty members from nine CUNY campuses.

“We are deeply grateful to Google and CUNY for the opportunity to work on this project, which will advance research in Natural Language Processing and foster connections between NLP and Cybersecurity,” Levitan said.

Read the full article here: https://hunter.cuny.edu/news/hunter-college-researcher-wins-google-grant/?news-feed=all-news&source=95770