O impacto das redes sociais no comportamento das pessoas
Bibliographic record
Abstract
Este trabalho teve como objetivo central, analisar o impacto das fake news na vida dos usuários das redes sociais. Objetivos específicos: averiguar o conceito de fake news e seus impactos na sociedade e entender como usuários das redes sociais se comportam diante das notícias falsas. Seguindo uma metodologia de abordagem qualitativa, de natureza básica. Quanto aos objetivos, exploratória-descritiva, e quanto aos procedimentos, levantamento e de estudo de caso, e tendo como questão norteadora: qual é o impacto das redes sociais na sociedade? O público participante desta pesquisa foram grupos de jovens, adultos e idosos usuário das redes socias, pertencentes ao IFTO, PAIF e CRAS União, sendo um total de 31 (trinta e um) pesquisados. Os resultados apontam que os participantes desta pesquisa, é são usuários ativos das redes sociais, têm conhecimento do que se trata fake news, porém ainda possuem comportamentos indiferentes diante das mesmas, pois na maioria das vezes não averiguam a confiabilidade das fontes de notícias, e as vezes chegam até a compartilhar essas informações.
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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 | 0.007 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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; 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".