Fake News: Combata esse vírus! Projeto Fake Não!
Bibliographic record
Abstract
A COVID-19, doença causada pelo vírus SARS-CoV-2, tem como característica a rápida transmissão. Desde seu relato no final de dezembro de 2019, em Wuhan, na China, a doença se alastrou pelos 5 continentes. Em 20 março de 2020, o governador de Alagoas decretou estado de calamidade pública no Estado de Alagoas atribuído à pandemia do COVID-19, suspendendo o funcionamento de vários estabelecimentos. Face ao exposto, a quantidade de conteúdos veiculados nas redes sociais acerca da pandemia contribui com a disseminação de notícias falsas. Essas notícias, uma vez espalhadas, dificultam a adesão às medidas de contenção do vírus orientadas pelas agências oficiais de saúde. Uma das consequências é o aumento do número de pessoas infectadas, levando à sobrecarga do sistema de saúde. Dessa maneira, o presente projeto busca minimizar os impactos da propagação de informações falsas a partir de debates das Fake News relacionadas à COVID-19. Neste boletim, vamos apresentar sete notícias falsas relacionadas com a COVID-19.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".