Who could be behind QAnon? Authorship attribution with supervised machine-learning.
A series of social media posts on 4chan then 8chan, signed under the pseudonym 'Q', started a movement known as QAnon, which led some of its most radical supporters to violent and illegal actions. To identify the person(s) behind Q, we evaluate the coincidence between the linguistic properties of th...
| Publicado en: | Digital Scholarship in the Humanities Vol. 38; no. 4; pp. 1418 - 1431 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Dec2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=174444644&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 174444644 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Dec2023 vid: 38 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 174444644 10.1093/llc/fqad061 ppf: 1418 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P size: 989KB tig: atl: Who could be behind QAnon? Authorship attribution with supervised machine-learning. aug: au: Cafiero, Florian Camps, Jean-Baptiste affil: Sciences Po, médialab , 27 Rue Saint Guillaume , France École Nationale des Chartes, Université Paris, Sciences & Lettres , 65 rue de Richelieu , France su: Attribution of authorship Machine learning QAnon Coincidence Literary form Social media sug: subj: Attribution of authorship Machine learning QAnon Coincidence Literary form Social media keyword: Authorship attribution Computational forensics Conspiracy theories Domestic threats and terrorism ab: A series of social media posts on 4chan then 8chan, signed under the pseudonym 'Q', started a movement known as QAnon, which led some of its most radical supporters to violent and illegal actions. To identify the person(s) behind Q, we evaluate the coincidence between the linguistic properties of the texts written by Q and to those written by a list of suspects provided by journalistic investigation. To identify the authors of these posts, serious challenges have to be addressed. The 'Q drops' are very short texts, written in a way that constitute a sort of literary genre in itself, with very peculiar features of style. These texts might have been written by different authors, whose other writings are often hard to find. After an online ethnography of the movement, necessary to collect enough material written by these thirteen potential authors, we use supervised machine learning to build stylistic profiles for each of them. We then performed a 'rolling analysis', looking repeatedly through a moving window for parts of Q's writings matching our profiles. We conclude that two different individuals, Paul F. and Ron W. are the closest match to Q's linguistic signature, and they could have successively written Q's texts. These potential authors are not high-ranked personality from the US administration, but rather social media activists. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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