Bias and representativeness in digitized newspaper collections: Introducing the environmental scan

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Abstract
This article introduces the ‘Environmental Scan’ as answer to the question of hidden biases in digital heritage collections. Its substantive focus is digitized nineteenth-century British provincial newspapers, and in particular the JISC corpus, a popular, publicly-funded resource for scholars. While multiple papers have meticulously investigated the genesis of such newspaper collections, in the process highlighting the often unacknowledged politics of collection, preservation and dissemination via microfilm and now digitization, our aim is to explore questions of representativeness and bias in new ways by enriching computational analysis of digital corpora with the historical insights that can be derived from a contemporaneous reference source: namely, the Victorian newspaper press directories.
Funding Information
  • UK Research and Innovation
  • Strategic Priority Fund
  • Arts and Humanities Research Council
  • AHRC (AH/S01179X/1)
  • The Alan Turing Institute
  • Universities of Cambridge, East Anglia, Exeter, and Queen Mary University of London
  • The Alan Turing Institute (EP/N510129/1)

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