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Appears in Collections:Literature and Languages Journal Articles
Peer Review Status: Refereed
Title: Taste and/or big data?: post-digital editorial selection
Author(s): Squires, Claire
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Keywords: publishing
editorial selection
big data
Issue Date: Oct-2017
Date Deposited: 31-Aug-2017
Citation: Squires C (2017) Taste and/or big data?: post-digital editorial selection. Critical Quarterly, 59 (3), pp. 24-38.
Abstract: Trade publishing has been transformed by the interventions of digital technologies in workflow, products, sales, marketing and distribution, placing the twenty-first century industry in a post-digital age. Editorial commissioning, however, remains a largely traditional process, in which the individual editor’s taste, judgement, and gut instinct combines with company behaviour and market environment in selection processes. Drawing on analyses of publishing’s gatekeeping processes, and a dataset of interviews with UK commissioning editors, the article argues that while, for the main, editorial selection does not currently incorporate big data and algorithmic processes, its reasons for so doing might reside in the need to retain the human within publishing processes, and an evasion of the ‘machine imitating human’.
DOI Link: 10.1111/criq.12361
Rights: This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is the accepted version of the following article:Squires, C. (2017) Taste and/or big data?: post-digital editorial selection. Critical Quarterly, 59: 24–38, which has been published in final form at This article may be used for non-commercial purposes in accordance with the Wiley Self-Archiving Policy

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