Abstract
This chapter explores a dataset of YouTube video comments about the 'ID2020' conspiracy theory, which claims that Bill Gates is part of a global conspiracy to mandate a COVID-19 vaccine incorporating a tracking microchip. This conspiracy theory merges religious discourses about the 'Mark of the Beast', with discourses about quantum dot and blockchain technologies. The chapter aims to understand the kinds of values that are negotiated by users who interact with ID2020 conspiracy videos by posting in YouTube comment sections. The appraisal and communing affiliation frameworks developed within Systemic Functional Linguistics are used to investigate evaluative language and social bonding in the dataset. The results reveal distinct textual personae bonding around positions such as anti-globalism, anti-technology, political scepticism, and anti-vaccination.
| Original language | English |
|---|---|
| Title of host publication | Conspiracy Theory Discourses |
| Editors | Massimiliano Demata, Virginia Zorzi, Angela Zottola |
| Place of Publication | U.S. |
| Publisher | John Benjamins Publishing Company |
| Chapter | 11 |
| Pages | 241-266 |
| Number of pages | 26 |
| Volume | 98 |
| ISBN (Electronic) | 9789027256959 |
| ISBN (Print) | 9789027212702 |
| DOIs | |
| Publication status | Published - Dec 2022 |
| Externally published | Yes |
Publication series
| Name | Discourse Approaches to Politics, Society and Culture |
|---|---|
| Volume | 98 |
| ISSN (Print) | 1569-9463 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- affiliation
- bonding
- conspiracy theories
- COVID-19
- discourse
- politics
- religion
- systemic functional linguistics
- technology
- YouTube
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