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A Novel Privacy-Preserving Socio-technical Platform for Detecting Cyber Abuse (Extended Abstract)

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Computational Data and Social Networks (CSoNet 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11917))

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Abstract

In this abstract, we present perspectives on on-going work by the authors in creating a massive scale digital platform that enables youth to share content that suits their own privacy expectations, while still contributing to cyber-abuse research.

This work was supported in part by US National Science Foundation. Findings and conclusions are those of the authors alone, and not necessarily those of the funding agency.

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References

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Correspondence to Sriram Chellappan .

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Chellappan, S., Fisk, N. (2019). A Novel Privacy-Preserving Socio-technical Platform for Detecting Cyber Abuse (Extended Abstract). In: Tagarelli, A., Tong, H. (eds) Computational Data and Social Networks. CSoNet 2019. Lecture Notes in Computer Science(), vol 11917. Springer, Cham. https://doi.org/10.1007/978-3-030-34980-6_33

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  • DOI: https://doi.org/10.1007/978-3-030-34980-6_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34979-0

  • Online ISBN: 978-3-030-34980-6

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