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On the Vernacular Language Games of an Antagonistic Online Subculture
In this paper we develop an empirical, big data approach to analyze how alt-right vernacular concepts (such as kek and beta) were used on the notorious anonymous and ephemeral imageboard 4chan/pol/and the fan wiki Encyclopedia Dramatica. While 4chan/pol/is broadly regarded as an influential source o...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383811/ https://www.ncbi.nlm.nih.gov/pubmed/34447929 http://dx.doi.org/10.3389/fdata.2021.718368 |
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author | Peeters, Stijn Tuters, Marc Willaert, Tom de Zeeuw, Daniël |
author_facet | Peeters, Stijn Tuters, Marc Willaert, Tom de Zeeuw, Daniël |
author_sort | Peeters, Stijn |
collection | PubMed |
description | In this paper we develop an empirical, big data approach to analyze how alt-right vernacular concepts (such as kek and beta) were used on the notorious anonymous and ephemeral imageboard 4chan/pol/and the fan wiki Encyclopedia Dramatica. While 4chan/pol/is broadly regarded as an influential source of many of the web’s most successful memes such as Pepe the Frog, Encyclopedia Dramatica functions as a kind of satirical Wikipedia for this meme subculture, written in high concept and highly offensive vernacular style. While the site’s affordances make them distinct, they are connected by a subcultural style and politics that has recently become increasingly connected with violent right-wing activism, forming a loose subcultural language community. Contrary to “memetic” theories of cultural evolution in media studies, our analysis draws on theoretical frameworks from poststructuralist and pragmatist philosophies of language and deploys empirical techniques from corpus linguistics to consider the role of online platforms in shaping these vernacular modes of expression. This approach helps us to identify instances of vernacular innovation within these corpora from 2012-2020—a period during which the white supremacist “alt-right” movement arose online. Through these analyses we contribute both to ongoing interdisciplinary attempts to bridge the gap between cultural-theoretical and computational-linguistic approaches to studying online subcultures, and to the empirical study of the vernacular roots of the “toxic memes” that appear to be an increasingly common feature on social media. |
format | Online Article Text |
id | pubmed-8383811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83838112021-08-25 On the Vernacular Language Games of an Antagonistic Online Subculture Peeters, Stijn Tuters, Marc Willaert, Tom de Zeeuw, Daniël Front Big Data Big Data In this paper we develop an empirical, big data approach to analyze how alt-right vernacular concepts (such as kek and beta) were used on the notorious anonymous and ephemeral imageboard 4chan/pol/and the fan wiki Encyclopedia Dramatica. While 4chan/pol/is broadly regarded as an influential source of many of the web’s most successful memes such as Pepe the Frog, Encyclopedia Dramatica functions as a kind of satirical Wikipedia for this meme subculture, written in high concept and highly offensive vernacular style. While the site’s affordances make them distinct, they are connected by a subcultural style and politics that has recently become increasingly connected with violent right-wing activism, forming a loose subcultural language community. Contrary to “memetic” theories of cultural evolution in media studies, our analysis draws on theoretical frameworks from poststructuralist and pragmatist philosophies of language and deploys empirical techniques from corpus linguistics to consider the role of online platforms in shaping these vernacular modes of expression. This approach helps us to identify instances of vernacular innovation within these corpora from 2012-2020—a period during which the white supremacist “alt-right” movement arose online. Through these analyses we contribute both to ongoing interdisciplinary attempts to bridge the gap between cultural-theoretical and computational-linguistic approaches to studying online subcultures, and to the empirical study of the vernacular roots of the “toxic memes” that appear to be an increasingly common feature on social media. Frontiers Media S.A. 2021-08-10 /pmc/articles/PMC8383811/ /pubmed/34447929 http://dx.doi.org/10.3389/fdata.2021.718368 Text en Copyright © 2021 Peeters, Tuters, Willaert and de Zeeuw. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Big Data Peeters, Stijn Tuters, Marc Willaert, Tom de Zeeuw, Daniël On the Vernacular Language Games of an Antagonistic Online Subculture |
title | On the Vernacular Language Games of an Antagonistic Online Subculture |
title_full | On the Vernacular Language Games of an Antagonistic Online Subculture |
title_fullStr | On the Vernacular Language Games of an Antagonistic Online Subculture |
title_full_unstemmed | On the Vernacular Language Games of an Antagonistic Online Subculture |
title_short | On the Vernacular Language Games of an Antagonistic Online Subculture |
title_sort | on the vernacular language games of an antagonistic online subculture |
topic | Big Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383811/ https://www.ncbi.nlm.nih.gov/pubmed/34447929 http://dx.doi.org/10.3389/fdata.2021.718368 |
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