Digital delegitimization: Biden representations in the astroturfing discourse of the RuNet

This article examines the delegitimization strategies employed by Russian bot networks in constructing the image of U.S. President Joe Biden on the VKontakte platform. Drawing on a unique corpus of 48,000 bot-generated messages (2019–2024), the study employs natural language processing, sentiment analysis, and topic modeling to uncover the rhetorical, lexical, and thematic features of astroturfing discourse. The findings reveal a systematic pattern of “low-threshold rhetorical toxicity”, in which irony, infantilization, and cognitive stigmatization are used to simulate grassroots discontent while avoiding overt aggression. The figure of Biden is strategically deconstructed into a symbol of weakness, senility, and geopolitical threat. This campaign functions not only to undermine a specific political actor but to reinforce broader anti-Western and pro-authoritarian narratives. The analysis contributes to understanding how digital propaganda produces simulated public opinion through coordinated, affectively loaded micro-discourses embedded within controlled information ecosystems.

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Publication Details

Journal
Media War & Conflict
Published
2025-12-26
DOI
https://doi.org/10.1177/17506352251403052
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital delegitimization: Biden representations in the astroturfing discourse of the RuNet

Тернов Николай Максимович, Dmitry Mikhailov, Kuralay Mukhambetova
Media War & Conflict
Misinformation and Its Impacts
article

Digital delegitimization: Biden representations in the astroturfing discourse of the RuNet

Тернов Николай Максимович, Dmitry Mikhailov, Kuralay Mukhambetova
article en

Abstract

This article examines the delegitimization strategies employed by Russian bot networks in constructing the image of U.S. President Joe Biden on the VKontakte platform. Drawing on a unique corpus of 48,000 bot-generated messages (2019–2024), the study employs natural language processing, sentiment analysis, and topic modeling to uncover the rhetorical, lexical, and thematic features of astroturfing discourse. The findings reveal a systematic pattern of “low-threshold rhetorical toxicity”, in which irony, infantilization, and cognitive stigmatization are used to simulate grassroots discontent while avoiding overt aggression. The figure of Biden is strategically deconstructed into a symbol of weakness, senility, and geopolitical threat. This campaign functions not only to undermine a specific political actor but to reinforce broader anti-Western and pro-authoritarian narratives. The analysis contributes to understanding how digital propaganda produces simulated public opinion through coordinated, affectively loaded micro-discourses embedded within controlled information ecosystems.

Media War & Conflict
L. N. Gumilyov Eurasian National University (KZ), Novosibirsk State Technical University (RU)
Openalex Percentile: Top 23%
Misinformation and Its Impacts
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Digital delegitimization: Biden representations in the astroturfing discourse of the RuNet — Тернов Николай Максимович, Dmitry Mikhailov, et al. · Media War & Conflict (2025) | TGRS Research Map | TGRS