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Big data, big responsibilities

Author

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  • De Filippi, Primavera

Abstract

Big data refers to the collection and aggregation of large quantities of data produced by and about people, things or the interactions between them. With the advent of cloud computing, specialised data centres with powerful computational hardware and software resources can be used for processing and analysing a humongous amount of aggregated data coming from a variety of different sources. The analysis of such data is all the more valuable to the extent that it allows for specific patterns to be found and new correlations to be made between different datasets, so as to eventually deduce or infer new information, as well as to potentially predict behaviours or assess the likelihood for a certain event to occur. This article will focus specifically on the legal and moral obligations of online operators collecting and processing large amounts of data, to investigate the potential implications of big data analysis on the privacy of individual users and on society as a whole.

Suggested Citation

  • De Filippi, Primavera, 2014. "Big data, big responsibilities," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 3(1), pages 1-12.
    • Handle: RePEc:zbw:iprjir:213980
    DOI: 10.14763/2014.1.227
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    Cited by:

    1. Kappler, Karolin Eva, 2018. "Big crisis data: generality-singularity tensions," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 7(2), pages 1-12.
    2. María Verónica Alderete, 2020. "Exploring the Smart City Indexes and the Role of Macro Factors for Measuring Cities Smartness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 567-589, January.

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