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Measuring the Internet: The Data Challenge

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  • William Lehr

    (Massachusetts Institute of Technology)

Abstract

This working paper reviews a number of the challenges and opportunities confronting analysts interested in measuring the Internet and its economic and social impacts. It identifies several additional challenges to the measurement issue, in addition to all of the normal problems one expects when measuring information and communication technologies (ICTs). These challenges are related to: the rapidly changing nature of the Internet, the need for more granular data in order to understand the complex nature of the Internet, and the phenomenon of big data and the resulting ability to measure almost anything.

Suggested Citation

  • William Lehr, 2012. "Measuring the Internet: The Data Challenge," OECD Digital Economy Papers 194, OECD Publishing.
    • Handle: RePEc:oec:stiaab:194-en
    DOI: 10.1787/5k9bhk5fzvzx-en
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    Cited by:

    1. Debora Di Gioacchino & Alina Verashchagina, 2017. "Mass media and attitudes to inequality," Working Papers in Public Economics 178, University of Rome La Sapienza, Department of Economics and Law.
    2. Nathan, Max & Rosso, Anna, 2015. "Mapping digital businesses with big data: Some early findings from the UK," Research Policy, Elsevier, vol. 44(9), pages 1714-1733.
    3. Nathan, Max & Rosso, Anna, 2014. "Mapping information economy businesses with big data: findings from the UK," LSE Research Online Documents on Economics 60615, London School of Economics and Political Science, LSE Library.
    4. Liebenau, Jonathan & Elaluf-Calderwood, Silvia, 2014. "Challenges to European internet business models: Governing a fragmented internet," 25th European Regional ITS Conference, Brussels 2014 101427, International Telecommunications Society (ITS).
    5. Nathan, Max & Rosso, Anna & Bouet, Francois, 2014. "Mapping 'Information Economy' Businesses with Big Data: Findings for the UK," IZA Discussion Papers 8662, Institute of Labor Economics (IZA).
    6. Occhini, Giulia & Tranos, Emmanouil & Wolf, Levi John, 2023. "Occupational segregation in the digital economy? A Natural Language Processing approach using UK Web Data," SocArXiv z8xta, Center for Open Science.

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