[IISE Faculty List] INFORMS DMS Webinar -- Dr. Jun Zhuang -- Managing Misinformation on Social Media during Disasters: A Machine Learning and Game-Theoretical Approach

[ying lin]

INFORMS Data Mining Society (DMS) would like to invite you to attend our
webinar on Wednesday, April.19, 2023, 1:30 p.m. - 2:30 p.m. (EST).
*Webinar Registration:*
https://us06web.zoom.us/webinar/register/WN_01KFBVb3SA2EgyFIOLsKUA
<https://urldefense.com/v3/__https:/us06web.zoom.us/webinar/register/WN_01KFBVb3SA2EgyFIOLsKUA__;!!LkSTlj0I!BwDlwhFWRWDr7WAVlCRUItPYGc896a237IXp7DQ2KM-ceZZyyRlwGffzdVRjS0XNQ0bodYygzDAdAcGVxzHIcFNUus6t$>
*Time: *April.19, 2023, 1:30 p.m. - 2:30 p.m. (EST)

*Title: Managing Misinformation on Social Media during Disasters: A Machine
Learning and Game-Theoretical Approach.*


*Presenter:* Dr. Jun Zhuang, Morton C. Frank Professor, Department of
Industrial and Systems Engineering, The University of Buffalo.

*Abstract**:* Social media has been increasingly utilized to spread
breaking news and risk communications during disasters. Unfortunately, due
to the unmoderated nature of social media platforms such as Twitter and
Facebook, rumors and misinformation could propagate widely. To address the
problem, we develop a machine learning framework to predict the veracity of
tweets that are spread during crisis events. We also develop two
game-theoretical models “Rumor Selection for Clarification” and “Learning
for Rumor Clarification”, to help decide which rumor to clarify and when to
clarify, respectively. This research provides novel insights on how to
efficiently monitor misinformation that is spread during disasters. We will
also discuss recent research on homeland security, supply chain risk
management, and wildfire management.

*Biography*: Dr. Jun Zhuang is Morton C. Frank Professor, Director of
Graduate Studies, and Director of the Decision, Risk & Data Laboratory,
Department of Industrial and Systems Engineering, the University at
Buffalo. Dr. Zhuang has a Ph.D. in Industrial Engineering in 2008 from the
University of Wisconsin-Madison. Dr. Zhuang's long-term research goal is to
integrate operations research, big data analytics, game theory, and
decision analysis to improve mitigation, preparedness, response, and
recovery for natural and man-made disasters. Other areas of interest
include applications to health care, sports, transportation, supply chain
management, sustainability, and architecture. Dr. Zhuang has been a
principal investigator of over 30 research grants funded by the U.S.
National Science Foundation, by the U.S. Department of Homeland Security,
by the U.S. Department of Energy, by the U.S. Air Force Office of
Scientific Research, and by the National Fire Protection Association.



---------------------------------------------------------

INFORMS DMS Webinar Committee Members

Dr. Chun-An Chou, ch.chou at northeastern.edu

Assistant Professor, Mechanical and Industrial Engineering Department,
Northeastern
University

Dr. Ying Lin, ylin58 at uh.edu

Assistant Professor, Industrial Engineering Department, University of
Houston
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