A content analysis of health and science-related hoaxes during COVID-19 in Spain
| Main Authors: | León, Bienvenido, Martínez-Costa, Pilar, Salaverría, Ramón, López-Goñi, Ignacio |
|---|---|
| Format: | info dataset Journal |
| Bahasa: | spa |
| Terbitan: |
, 2021
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4892830 |
Daftar Isi:
- This dataset contains the coding of a sample of hoaxes published by these three fact-checking organizations over a three-month period (March 11 to June 10, 2020), which started when the WHO declared the pandemic. The sample includes hoaxes (N=533) debunked by three Spanish fack-checking organizations: Maldita.es (N = 327), Newtral (N = 143), and EFE Verifica (N = 63). The coding includes: Subject of the hoax: science/health, politics/government, other. Next, all science/health hoaxes (N = 187) were coded, and the following variables were analyzed: Platform used to spread the hoax: networks (in general), Twitter, Facebook, WhatsApp, Instagram, YouTube, and others. Formats used: text, audio, image, video, other. Geographical scope: local, national, international, unspecified/not applicable. Type of hoax: joke, exaggeration, decontextualization, deception. Topic of hoaxes related to science/health: scientific research, scientific policy and health management, advice issued to the public, and others. Topic of hoaxes related to scientific research: origin of the virus, transmissibility, fatality rate, treatments, vaccines, etc. Source type: anonymous, spoofed, fictitious, real. Non-anonymous sources: members of the public, business, government, professional, healthcare/science. Type of healthcare/science sources: researchers, international scientific organizations, national scientific organizations, health professionals, and others.