Attitudes of online users towards personal information leakage: based on Sina Weibo database

Wang Min; Zhilong You

doi:10.1051/e3sconf/202125101044

All issues

Volume 251 (2021)

E3S Web Conf., 251 (2021) 01044

References

Open Access

Issue		E3S Web Conf. Volume 251, 2021 2021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)


Article Number		01044
Number of page(s)		5
Section		Analysis of Energy Industry Economy and Consumption Structure Model
DOI		https://doi.org/10.1051/e3sconf/202125101044
Published online		15 April 2021

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[1] The 45th China Statistical Report on Internet Development. 2020 [Google Scholar]

[2] ITRC’s data leak summary report. 2020 [Google Scholar]

[3] Gruzd, A., Hernández-García, Á. Privacy Concerns and Self-Disclosure in Private and Public Uses of Social Media. Cyberpsychology, Behavior, and Social Networking, 21, 7 (2017) [Google Scholar]

[4] Syn S. Y., Oh S. Why do social network site users share information on Facebook and Twitter?. Journal of Information Science, 41 (2015) [Google Scholar]

[5] Sina Weibo Reports. 2020 [Google Scholar]

[6] Fatima, I., Mukhtar, H., Ahmad, H. F., & Rajpoot, K. Analysis of user-generated content from online social communities to characterise and predict depression degree. Journal of Information Science, 44, 5(2018) [Google Scholar]

[7] Smith, E. R., Mackie, D. M., & Claypool, H. M. Social psychology. (Psychology Press, 2014) [Google Scholar]

[8] Ku Y. C., Chen R., Zhang H. Why do users continue using social networking sites? An exploratory study of members in the United States and Taiwan [J]. Information & Management, 50, 7 (2013) [Google Scholar]

[9] Preibusch, S., Peetz, T., Acar, G., & Berendt, B. Shopping for privacy: Purchase details leaked to PayPal. Electronic Commerce Research and Applications, 15, (2016) [Google Scholar]

[10] Kim, Y., Oh, T., & Kim, J. (2015). Analyzing user awareness of privacy data leak in mobile applications. Mobile Information Systems, 20, 15 (2015). [Google Scholar]

[11] Lazer D., Pentland A., Adamic L., et al. Social science. Computational social science. Science, 323 (2009) [Google Scholar]

[12] Symeonidis, S., Effrosynidis, D., & Arampatzis, A. A comparative evaluation of pre-processing techniques and their interactions for twitter sentiment analysis. Expert Systems with Applications, 110 (2018) [Google Scholar]