Who Shapes Brazil's Vaccine Debate? Semi-Supervised Modeling of Stance and Polarization in YouTube's Media Ecosystem
2026-04-22T07:23:53Z•6fd825b1ddf58d4f158117f69d6dd33f1c197d8b35fe8f9b4172938b490309ba
LLMsagentic AIai governancealgorithmic auditsalgorithmic fairnessauditabilitycasenotescausal inferencecompanion chatbotsdata annotationdecision systemseducation technologyhousing allocationhuman-AI partnershipinstitutional risk modelspolicyresponsibilitysemi-supervised learningstance detectionvaccine misinformation
What happened
Collection of recent CS/AI papers highlighting risks, methods, and governance needs across information ecosystems and decision systems. Key contributions: a large-scale (≈1.4M comments) semi‑supervised stance detection study of Brazil’s YouTube vaccine discourse showing polarization dynamics and structural vulnerabilities in science/digital-native channels; the TACO (Think‑Ask‑Check‑Own) framework to operationalize student regulation of generative-AI use; a policy/technical analysis of companion chatbots arguing that current “locks and blocks” and narrow accountability are inadequate and that/
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_cy
- Record identifier
- 6fd825b1ddf58d4f158117f69d6dd33f1c197d8b35fe8f9b4172938b490309ba
- Enrichment time
- 2026-04-22T07:23:53Z
- AI-assisted enrichment
- Yes
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