Tag: Jiebo Luo

Study of headlines shows media bias is growing
A team from the Department of Computer Science used machine learning to analyze publications across the political spectrum.

To drill down on anti-Asian hate crimes, Rochester researchers harness social media
Information gleaned from thousands of Twitter users lets the researchers gauge public opinion toward #StopAsianHate and #StopAAPIHate.

Study: Twitter mirrors our attitudes and feelings about COVID-19
Themes of anxiety, depression, and fear of shortages emerge as Rochester researchers continue to mine social media as a reflection of the United States “in the moment.”

Hajim School faculty members honored by ACM, IEEE
The Association for Computer Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE) welcome four new fellows from the faculty of the Hajim School of Engineering and Applied Sciences.

Virtual reality app offers personalized psychotherapy
A multidisciplinary team of University doctors, engineers, and musicians is working together to create an immersive, customized experience that brings cognitive-behavioral therapy to a patient’s smartphone.

Goergen Institute for Data Science provides new opportunities for collaboration
Launched in 2016, the institute serves as a hub, bringing together researchers in fields such as public health and political science, with experts in machine learning and data mining.

Millions of tweets are a gold mine for data mining
Researchers can track the flu, consumer preferences, and movie box office sales, all from the millions of tweets posted every day.

Twitter researchers offer clues for why Trump won
The more Donald Trump tweeted, the faster his following grew, even after he sparked controversies. This is among the many findings from an exhaustive 14-month study of each candidate’s tweets during the 2016 election by researchers Jiebo Luo and Yu Wang.