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Demographic inequalities in digital spaces in China: The case of Weibo

Abstract:
We provide the first systematic, large-scale exploration of user counts by age, gender, and location on Weibo, the world's largest microblogging platform, using data from its advertising platform. Digital platforms potentially give access to information, economic opportunities, and social participation to underserved groups, and can be used for information dissemination during emergency situations and humanitarian response. The trace data that they produce is potentially more timely, of higher spatial or temporal resolution, and available for difficult-to-reach populations, than data from traditional sources. Whether this potential is fully realized however depends on who actually participates in these online spaces. We contribute to a growing body of research investigating the demographic characteristics of social media platforms, and on the population generalizability of digital trace data in non-Western, non-English-language contexts. We show that Weibo users are disproportionately young, female, and urban. Use of Weibo is higher in areas that are more economically prosperous and with a more educated population.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.36190/2023.01

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Institution:
University of Oxford
Division:
SSD
Department:
Sociology
Oxford college:
Nuffield College
Role:
Author
ORCID:
0000-0003-0615-2868


Publisher:
Association for the Advancement of Artificial Intelligence
Host title:
Workshop Proceedings of the 17th International AAAI Conference on Web and Social Media
Publication date:
2023-06-01
Acceptance date:
2023-04-20
Event title:
17th International AAAI Conference on Web and Social Media
Event location:
Cyprus
Event website:
https://www.icwsm.org/2023/index.html/
Event start date:
2023-06-05
Event end date:
2023-06-08
DOI:


Language:
English
Keywords:
Pubs id:
1352079
Local pid:
pubs:1352079
Deposit date:
2023-06-05
ARK identifier:

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