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Kim, an Assistant Professor of Journalism and Media Studies at SC&I, earned her Ph.D. from the University of Michigan in 2022.

Youngrim Kim Named the Recipient of a 2022 ProQuest Distinguished Dissertation Award by the University of Michigan

Date: May 23, 2023

An Assistant Professor of Journalism and Media Studies at SC&I, Kim said her dissertation, which she earned from the University of Michigan in 2022, “examines the politics surrounding state-initiated digital health platforms that are built to manage global health crises, through the case study of two infectious disease outbreaks in South Korea: the 2015 MERS Epidemic and COVID-19.”

National Medal for Museum and Library Service Recognizes Long Branch, NJ Long Branch Free Public Library’s Community Contributions

Long Branch Free Public Library Recognized as a 2023 Recipient of Nation’s Highest Museum and Library Honor

Date: May 23, 2023

National Medal for Museum and Library Service Recognizes Long Branch, NJ Long Branch Free Public Library’s Community Contributions.

ica_2023

Over 40 SC&I Faculty and Doctoral Students to Participate in 73rd Annual International Communication Association Conference

Date: May 22, 2023

Over 40 SC&I faculty members in the departments of Communication, Journalism and Media Studies, and Library and Information Science and students in the Ph.D. Program in Communication, Information, and Media are participating in the 73rd Annual International Communication Association (ICA) Conference as session chairs, discussants, and participants.

njla

LIS Faculty and Students to Attend New Jersey Librarian Association Conference May 31– June 2

Date: May 19, 2023

Faculty, students, and alumni from SC&I’s Library and Information Science (LIS) Department will attend the annual New Jersey Librarian Association (NJLA) Conference, the premier professional development event for the state’s library community.

A Rutgers study shows that article level labeling is important to improve the detection of misinformation and ensuring fairness of the process.

Rutgers Researchers Find Flaws in Using Source Reputation for Training Automatic Misinformation Detection Algorithms

Date: May 16, 2023

Researchers at Rutgers University have found a major flaw in the way that algorithms designed to detect "fake news" evaluate the credibility of online news stories. 

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