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Engaging to deceive: strategies of synthetic involvement in fake tweets

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Jaworska, S. ORCID: https://orcid.org/0000-0001-7465-2245 (2025) Engaging to deceive: strategies of synthetic involvement in fake tweets. Linguistics Vanguard. ISSN 2199-174X (In Press)

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Abstract/Summary

This study investigates the lexico-grammatical and graphemic features of synthetic involvement employed by fake news writers to engage audiences on Twitter (now X). Conceptually, it draws on the linguistic notion of involvement as a form of phatic communication but extends it to include features of digital discourse produced with the intent to manipulate and deceive - hence, synthetic involvement. Methodologically, the study adopts a comparative corpus-based approach to identify features of involvement in a dataset of 13,000 tweets produced by fake accounts operated by the Russian Internet Research Agency (IRA). In addition to language markers such as the frequent use of proper nouns, third-person present tense reporting verbs associated with standard English, interjections, and personal and possessive pronouns, the study also identifies graphemic features that reflect deliberate attempts to fabricate authenticity, for example, the use of asterisks for inconsistent self-censorship to obscure offensive language. By revealing this wider range of features, the study contributes to the growing body of linguistic research on online disinformation, offering insight into how synthetic involvement is strategically constructed and deployed to deceive and manipulate public opinion.

Item Type:Article
Refereed:Yes
Divisions:Arts, Humanities and Social Science > School of Literature and Languages > English Language and Applied Linguistics
ID Code:123884
Uncontrolled Keywords:fake news, fake tweets, corpus linguistics, involvement, key parts of speech, lexico-grammatical features, graphemic features, disinformation, online
Publisher:De Gruyter
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