Conspiracy beliefs and knowledge about HIV origins among adolescents in Soweto, South Africa
Bibliographic record
Abstract
PURPOSE: We examined adolescents' knowledge regarding the origin of HIV/AIDS and correlates of beliefs surrounding conspiracy theories in Soweto, South Africa. Now, a decade post-AIDS denialism, South Africa has the largest antiretroviral therapy roll-out worldwide. However, conspiracy theories stemming from past AIDS denialism may impact HIV prevention and treatment efforts. METHODS: Study participants were recruited through the Kganya Motsha Adolescent Health Centre and the Perinatal HIV Research Unit's Botsha Bophelo Adolescent Health Study (BBAHS). Adolescents were eligible to participate if aged 14-19 years and living in Soweto. We calculated the proportion of adolescents who correctly believed that HIV originated from non-human primates, and used contingency table analysis and logistic regression modeling to describe correlates associated with accurate knowledge and beliefs in conspiracy theories. RESULTS: Of 830 adolescents, 168 (20.2%) participants correctly identified HIV as originating from chimpanzees and one third (n = 71, 8.6%) believed in a conspiracy theory about the origins of HIV, including that it originated from the US government (2.3%), the pharmaceutical industry (2.2%), a vaccine (2.1%), space (1.5%), and a scientist (0.6%). Participants who were more likely to correctly identify the origin of HIV were older, men, and unemployed. Participants who were men, unemployed or students, and who had a parent or close relative who had died of HIV, were more likely to believe in a conspiracy theory regarding the origins of HIV. CONCLUSIONS: Adolescents living in Soweto did not have high levels of accurate knowledge regarding the origins of HIV/AIDS and conspiracy beliefs were present among a small minority of participants. Accurate knowledge of the origins of HIV and debunking myths are important for improving uptake of HIV prevention tools in this population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".