UROP Proceeding 2023-24

School of Business and Management Department of Economics 176 Understanding and De-biasing User Media Consumption Supervisor: LU Yang / ECON Co-supervisor: HAGMANN David / MGMT Student: CHEN Yue / ECON LAU Kwun Hin / MAEC LIU Jiayuan / ECOF Course: UROP 1000, Summer UROP 1100, Summer UROP 1000, Summer The research project we are responsible for focuses on labeling the possible reasons for the unifying and polarizing emotions that are triggered by sentences that various readers have chosen to express their reading feelings, whose topic mainly focuses on supporting or opposition to abortion policy. The codes are roughly divided into the following categories: Article [A], Facts [F], Human [H], Law [L], and Political party related [P]. We placed the Unifying and Polarizing segments into two different Atlas projects and analyzed them separately. We mostly targeted the frequency of different codes and their causes. Meanwhile, when faced with some conflicts or unusual situations, we made preliminary inferences based on life experience, basic human nature, and the attitudes of the two parties towards abortion policy in the United States.

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