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ID4983715
AuthorsTess Mcnulty, T Michael McNulty (corresponding author)
Year2022
Volume54
Issue1
Pages795-851
Publication date2022-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueNew Literary History (JOURNAL)
Journal identifiersISSN: 0028-6087 • E-ISSN: 1080-661X
PublisherProject MUSE (PUBLISHER • US)
DOI10.1353/nlh.2022.a898330
OpenAlexW4379410729
LanguageEN
Citations received1

The internet is awash with new popular forms, from TED Talks and podcasts to makeup tutorials and tweets. And yet scholars have only just begun to explore these forms cultural effects. This essay develops an approach to new forms of popular digital "content," grounded in the humanistic theory tradition. The approach draws together formalist methods of analyzing genre from computational literary criticism and new media theory and applies them to the investigation of large databases of popular digital content—material on which neither subfield has yet focused extensively. Illustration is provided through a case study: an analysis of the genres that dominate a database of 18,908 of the most popular blog posts on Medium.com, 2019-2021, considered in relation to posthumanist theories of personhood. In this way, the essay shows what a formalist approach to popular digital content, grounded in literary and new media theory, can contribute to our growing, trans-disciplinary comprehension of digital culture

Art · Comprehension · Content (measure theory) · Criticism · Digital media · Discipline · Epistemology · Humanism · Linguistics · Literature · Media studies · Popular culture · Relation (database) · Social science · Sociology · The Internet · World Wide Web · Computer Science · Digital Games and Media · Digital Humanities and Scholarship · Mathematics · Narrative Theory and Analysis · Philosophy

  • Beyond Plot

    Open Access•Katherine Elkins•Journal of Cultural Analytics•2025

Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae