Analytic surveillance: Big data business models in the time of privacy awareness

Authors

  • Eva-Patricia Fernández-Manzano El profesional de la información
  • Marí­a-Isabel González-Vasco

DOI:

https://doi.org/10.3145/epi.2018.mar.19

Keywords:

OTT, Social networks, Security, Big data, Machine learning, Privacy, Cryptography.

Abstract

 

Massive data collection and analysis is at the heart of many business models today. New technologies allow for fine-grained recommendation systems that help companies make accurate market predictions while also providing clients with highly personalized services. Because of this, extreme care must be taken when it comes to storing and managing personal (often highly sensitive) information. In this paper we focus on the influence of big data management in media business content platforms, mainly in well-known OTT (Over the Top) services. In addition, we comment on the implications of data management in social networks. We discuss the privacy and security risks associated with this novel scenario, and briefly comment on tools that aid in securing the privacy of business intelligence within this context.

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Published

2018-04-04

How to Cite

Fernández-Manzano, E.-P., & González-Vasco, M.-I. (2018). Analytic surveillance: Big data business models in the time of privacy awareness. Profesional De La información, 27(2), 402–409. https://doi.org/10.3145/epi.2018.mar.19

Issue

Section

Non research articles