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Understanding user's identifiability on social media:a supervised machine learning and self-reporting investigation

Xi Chen Hao Ding Jian Mou Yuping Zhao

数据科学与管理（英文）2025，Vol.8Issue(3)：270-283,14.

数据科学与管理（英文）2025，Vol.8Issue(3)：270-283,14.DOI:10.1016/j.dsm.2024.12.005

Understanding user's identifiability on social media:a supervised machine learning and self-reporting investigation

Xi Chen ¹Hao Ding ¹Jian Mou ²Yuping Zhao³

作者信息

1. Management Science Department,School of Business and Tourism Management,Yunnan University,Kunming,650091,China||Soft Science and Systems Science Research Center,School of Business and Tourism Management,Yunnan University,Kunming,650091,China
2. School of Business,Pusan National University,Busan,46241,Republic of Korea
3. General Education Center,Communication University of China,Beijing,100024,China
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摘要

关键词

Identifiability/Social media/Mental space/Information space/Supervised machine learning/Privacy and security

Key words

Identifiability/Social media/Mental space/Information space/Supervised machine learning/Privacy and security

引用本文复制引用

Xi Chen,Hao Ding,Jian Mou,Yuping Zhao..Understanding user's identifiability on social media:a supervised machine learning and self-reporting investigation[J].数据科学与管理（英文）,2025,8(3):270-283,14.

基金项目

This work is supported by the National Social Science Funds of China(Grant No.21BSH050)and Major Project of National Social Science Funds of China(Grant No.20&ZD013). （Grant No.21BSH050）

数据科学与管理（英文）

ISSN：2666-7649

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