Impact of COVID-19 Pandemic on Cultural Products Interests

Ke Li, Zhiwen Yu, Ying Zhang, Bin Guo

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The COVID-19 pandemic has had a significant impact on human behaviors and how it influenced peoples' interests in cultural products is an unsolved problem. While prior studies mostly adopt subjective surveys to find an answer, these methods are always suffering from high cost, limited size, and subjective bias. Inspired by the rich user-oriented data over the Internet, this work explores the possibility to leverage users' search logs to reflect humans' underlying cultural product interests. To further examine how the COVID-19 mobility policy might influence cultural interest changes, we propose a new regression discontinuity design that has the additional potential to predict the recovery phase of peoples' cultural product interests. By analyzing the 1592 search interest time series in 6 countries, we found different patterns of change in interest in movies, music, and art during the COVID-19 pandemic, but a clear overall incremental increase. Across the six countries we studied, we found that changes in interest in cultural products were found to be strongly correlated with mobility and that as mobility declined, interest in movies, music, and art increased by an average of 35, 27 and 20, respectively, with these changes lasting at least eight weeks.

源语言英语
主期刊名ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023
出版商Association for Computing Machinery, Inc
1190-1195
页数6
ISBN(电子版)9781450394161
DOI
出版状态已出版 - 30 4月 2023
活动2023 World Wide Web Conference, WWW 2023 - Austin, 美国
期限: 30 4月 20234 5月 2023

出版系列

姓名ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023

会议

会议2023 World Wide Web Conference, WWW 2023
国家/地区美国
Austin
时期30/04/234/05/23

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