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Published in The Designing for Mis/Disinformation Workshop (CHI ’22 Workshop), 2024
In this workshop paper, we propose developing a mixed-initiative, crowd-powered system to (i) semi-automatically explore definitions of fake news online, (ii) curate datasets of new stories for machine learning applications, (iii) power-based tools that identify misinformation content in-situ, and (iv) deploy digital media literacy interventions and news recommendations that increase a user’s hardiness against misinformation threats on online news media platforms. Our objective here is to stimulate discussion around our prototype’s design, new mitigation approaches, and their applications.
Recommended citation: Khatiwada, P., Mumma, I., Halko, L, Alvanpour, A., and Mauriello, M.L., (2022). "Toward Browser-based Interventions to Tackle Misinformation Online." ACM SIGCHI 2022 Designing for Mis/Disinformaiton Workshop. https://sensifylab.cis.udel.edu/docs/2022-Khatiwada-CHI-Toward-Browser-based-Interventions-Misinformation-Online-Workshop.pdf
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Undergraduate course, Advanced Web Technologies CISC 474, University of Delaware, Computer and Information Science, 2021
Helping students with the Course “Advanced Web technologies CISC474”, Grading, Attending Office Hours, Proctoring exams.
Graduate course, Machine Learning(CISC 4684), University of Delaware, Computer and Information Science, 2022
Helping students with the Course “Intro to Machine Learning” CISC684, Grading, Attending Office Hours, Proctoring exams.