Privacy regulations for online platforms allow users to control their personal data. But what happens when our private attributes or behaviour can be inferred without our personal data? Researchers reveal that the behaviour of individuals is predictable using only the information provided by their friends in an online social network.
References
Bagrow, J. P., Liu, X. & Mitchell, L. Nat. Hum. Behav. https://doi.org/10.1038/s41562-018-0510-5 (2019).
Garcia, D. Sci. Adv. 3, e1701172 (2017).
Horvát, E., Hanselmann, M., Hamprecht, F. A. & Zweig, K. A. PLoS ONE 7, e34740 (2012).
Jurgens, D., Tsvetkov, Y. & Jurafsky, D. in Social Informatics. SocInfo 2017. Lecture Notes in Computer Science Vol. 10540 (eds Ciampaglia G., Mashhadi A. & Yasseri T.) 537–558 (Springer, Cham, 2017); https://doi.org/10.1007/978-3-319-67256-4_43
Garcia, D., Goel, M., Agrawal, A. & Kumaraguru, K. EPJ Data Sci. 7, 3 (2018).
Hatmaker, T. Zuckerburg denies knowledge of Facebook shadow profiles. TechCrunch https://techcrunch.com/2018/04/11/facebook-shadow-profiles-hearing-lujan-zuckerberg/ (2018).
Kosinski, M., Stillwell, D. & Graepel, T. Proc. Natl Acad. Sci. USA 110, 5802–5805 (2013).
Cabañas, J. G., Cuevas, Á. & Cuevas, R. Unveiling and quantifying Facebook exploitation of sensitive personal data for advertising purposes. In 27th USENIX Security Symposium 479–495 (USENIX, 2018); https://www.usenix.org/conference/usenixsecurity18/presentation/cabanas
Marwick, A. E. & Boyd, D. New Media Soc. 16, 1051–1067 (2014).
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Garcia, D. Privacy beyond the individual. Nat Hum Behav 3, 112–113 (2019). https://doi.org/10.1038/s41562-018-0513-2
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DOI: https://doi.org/10.1038/s41562-018-0513-2
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