|Appears in Collections:||Literature and Languages Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Taste and/or big data?: post-digital editorial selection (Forthcoming)|
|Citation:||Squires C (2017) Taste and/or big data?: post-digital editorial selection (Forthcoming), Critical Quarterly, 59 (3), pp. 1-15.|
|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’.|
|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.|
|Squires Taste and big data_acceptedversion.pdf||285.25 kB||Adobe PDF||Under Embargo until 27/6/2020 Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.