ISI Media Coverage
Researchers Support NSF Major Facilities Cyberinfrastructure Through New NSF-funded Center of Excellence
Source: CI CompassUSC ISI’s Ewa Deelman is lead PI on the collaborative project to build cyberinfrastructure for the NSF’s Major Facilities.
USC Study: Political Discourse on Twitter Helped Predict COVID-19 Outbreak Sites
Source: KNBC-TVKNBC-TV featured research by Kristina Lerman that linked political discourse on Twitter to future COVID-19 outbreaks.
Facebook Algorithm Shows Gender Bias in Job Ads, Study Finds
Source: The Wall Street JournalThe Wall Street Journal featured research by Aleksandra Korolova and John Heidemann, along with doctoral student, Basileal Imana, on how Facebook serves different job ads to men and women.
Tracking Viral Misinformation About the 2020 Election
Source: New York TimesResearch by Emilio Ferrara found that during the 2020 Election season 13 percent of all accounts tweeting about conspiracy theories were automated.
Study identifies thousands of Twitter bots amplifying conspiracy theories ahead of the U.S. elections
Source: Venture BeatResearch by Emilio Ferrara on how bots are once again influencing discussions around the 2020 election was featured
When AI is the Opposite of Sinister
Source: STAT NewsSTAT quoted Yolanda Gil on a new award that recognizes the positive impact of artificial intelligence.
Alexander Spangher Wins Bloomberg Data Science PhD Fellowship
Source: BloombergSpangher, a Ph.D. candidate in the Department of Computer Science at the USC Viterbi School of Engineering, will use the fellowship to further his work in NLP and computational journalism.
School district halts distance learning after ransomware attack
Source: Fox 11KTTV-TV interviewed Cliff Neuman regarding a ransomware attack affected a school district.
How to Break Out of Your Social Media Echo Chamber
Source: WIREDWork by Kristina Lerman about online echo chambers was featured
Photoshop Will Help ID Images That Have Been … Photoshopped
Source: WIREDWael Abd-Almageed was quoted on the viability of this technology to detect deepfakes