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ABSTRACT
In the past two decades, big data has been gradually introduced into visitor research of museums globally. However, there are technical limitations in data collection, such as sample deviation and data quality in data collection, and data analysis limitations, such as weakening causality and inaccurate judgement of human emotions. This has also raised many ethical issues, such as human subjectivity, privacy, and social justice in applying big data in museum visitor research. Thus, it is imperative to clarify the application scope of big data and formulate ethical regulations to promote the development of extensive data research methods for museum visitors.
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Zhang Jingwen
Zhang Jingwen is an associate professor and deputy curator of Nankai University Museum. She focuses on museum exhibition planning, public engagement in museums, and smart museums. She has published extensively on these topics in international journals. The recent publications include The Visualzation of Cultural Relics Information in the Context of Digital, NK-CDS: Creative Design System For Museum Art Derivatives.
Liao Lin
Liao Lin is a graduate student at the School of History, Nankai University. She focuses on museology theory and method and has published her findings in domestic journals.