Dayane Fumiyo Tokojima Machado
Biographic Data
| ID | 10042429 |
|---|---|
| NAME | Dayane Fumiyo Tokojima Machado |
| GIVEN NAMES | Dayane Fumiyo Tokojima |
| FAMILY NAME | Machado |
| SIGNATURE | MACHADO D F T |
| AFFILIATIONS | Universidade Estadual de Campinas (UNICAMP) |
| ORCID | 0000-0003-1437-9210 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
It-which-must-not-be-named
COVID-19 misinformation became accessible and profitable through social media platforms, such as YouTube. Here we investigate if Brazilian YouTube channels previously identified as vaccine misinformation spreaders would also misinform their audience about COVID-19. Our analysis sample consists of 6 months of content (3,318 videos) from 50 Brazilian YouTube channels. We establish a protocol to classify the types of COVID-19 misinformation spread b…
Natural Stings
In this study, we investigate YouTube’s videos related to vaccines to understand the particularities of the opposition to vaccines in Brazil. The World Health Organization considered vaccine hesitation as one of the greatest threats to global health in 2019. Researchers associated this hesitation to a strengthening of the anti-vaccination movements, suggesting that social media is currently the main spreader of this position. YouTube increasingly…
No prominent works on this page.
Natural Stings
In this study, we investigate YouTube’s videos related to vaccines to understand the particularities of the opposition to vaccines in Brazil. The World Health Organization considered vaccine hesitation as one of the greatest threats to global health in 2019. Researchers associated this hesitation to a strengthening of the anti-vaccination movements, suggesting that social media is currently the main spreader of this position. YouTube increasingly…
It-which-must-not-be-named
COVID-19 misinformation became accessible and profitable through social media platforms, such as YouTube. Here we investigate if Brazilian YouTube channels previously identified as vaccine misinformation spreaders would also misinform their audience about COVID-19. Our analysis sample consists of 6 months of content (3,318 videos) from 50 Brazilian YouTube channels. We establish a protocol to classify the types of COVID-19 misinformation spread b…
Advertising (2 works) · Business (2 works) · Internet privacy (2 works) · Medicine (2 works) · Misinformation (2 works) · Misinformation and Its Impacts (2 works) · Vaccine Coverage and Hesitancy (2 works) · Computer Science (1 works) · Computer security (1 works) · Distrust (1 works)