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ICT and Dataveillance

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Next Generation Data Technologies for Collective Computational Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 352))

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Abstract

Dataveillance, the collection, storage and mining of data and images, is increasing and new emerging technologies seem to inevitably contribute to ever more dataveillance. In this chapter, we outline the key social drivers for dataveillance and illustrate some of the roles emerging technology plays in dataveillance. We then turn to the question of the relationship of technology to its use and how non-neutral outcomes eventuate. Why does new technology seemingly lead to dataveillance rather than empowerment of the citizen, worker and consumer? To unravel this, we develop a social ecological model of technology cooption. In this model, we show how technology cooption is contested at each stage of technology development. Further, we show that the outcome of such contestation is the non-neutrality of the technology. The technology cooption model provides a middle range theory for empirical analysis by identifying the key elements of technology cooption and their proposed links and the role of the stakeholders in such cooption.

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Author information

Authors and Affiliations

  1. School of IS, Deakin University, Melbourne, USA

    Darryl Coulthard & Susan Keller

Authors
  1. Darryl Coulthard
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  2. Susan Keller
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Editors and Affiliations

  1. School of Computing & Maths, University of Derby, DE22 1GB, Derby, United Kingdom (UK)

    Nik Bessis

  2. Dept de Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

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Coulthard, D., Keller, S. (2011). ICT and Dataveillance. In: Bessis, N., Xhafa, F. (eds) Next Generation Data Technologies for Collective Computational Intelligence. Studies in Computational Intelligence, vol 352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20344-2_22

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  • DOI: https://doi.org/10.1007/978-3-642-20344-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20343-5

  • Online ISBN: 978-3-642-20344-2

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