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Web‐crawling reliability

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  • Viv Cothey

Abstract

In this article, I investigate the reliability, in the social science sense, of collecting informetric data about the World Wide Web by Web crawling. The investigation includes a critical examination of the practice of Web crawling and contrasts the results of content crawling with the results of link crawling. It is shown that Web crawling by search engines is intentionally biased and selective. I also report the results of a large‐scale experimental simulation of Web crawling that illustrates the effects of different crawling policies on data collection. It is concluded that the reliability of Web crawling as a data collection technique is improved by fuller reporting of relevant crawling policies.

Suggested Citation

  • Viv Cothey, 2004. "Web‐crawling reliability," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(14), pages 1228-1238, December.
    • Handle: RePEc:bla:jamist:v:55:y:2004:i:14:p:1228-1238
    DOI: 10.1002/asi.20078
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    Cited by:

    1. Jin-Taek Seong, 2023. "Bounds on Performance for Recovery of Corrupted Labels in Supervised Learning: A Finite Query-Testing Approach," Mathematics, MDPI, vol. 11(17), pages 1-16, August.
    2. Jens Foerderer, 2023. "Should we trust web-scraped data?," Papers 2308.02231, arXiv.org.

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