Autofiction and Blending

Summary

This data set is a corpus of 80 Goodreads reviews for the autofictional novel Black Wave by Michelle Tea. All available comment-reviews were collected up until the end of January 2021. Reviews were excluded if there was a conflict of interest (e.g. readers disclosed that they were given a free copy by the publisher). Reader identities were anonymised during data collection, using an acronym based on the book’s title and a number.

Keywords: Michelle Tea; Black Wave; Reader Response; Autofiction; Contemporary Fiction; Stylistics; Cognitive Stylistics; Qualitative Data; Fictionality.
Creators:
Academic units: Faculty of Social Sciences and Humanities (SSH) > Research Centres > Humanities Research Centre (HRC)
Funders:
Funder NameGrant NumberFunder ID
Sheffield Hallam UniversityUNSPECIFIED
Publisher of the data: SHU Research Data Archive (SHURDA)
Publication date: 11 September 2023
Data last accessed: No data downloaded yet
Embargo expiry date: 2024
Reason(s) for restriction and conditions for access: In the first instance, this data is associated with a journal article that now has to undergo peer review before it is published. Since this is not yet published, please protect the data through embargo.
DOI: http://doi.org/10.17032/shu-180027
SHURDA URI: https://shurda.shu.ac.uk/id/eprint/140

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