Brazilian COVID-19 Fake News Analysis from Eu Fiscalizo App Notifications

Eu Fiscalizo app notifications provide a quantitative empirical study of widespread SARS-CoV-2 disinformation in Brazil. The analysis identifies WhatsApp as the primary channel for sharing fake news, followed by Instagram and Facebook. Cláudia Pereira Galhardi authored this paper, concluding that such content harms public health by discrediting science and global institutions.

Use Cases

• Classifying fake news content based on the topics identified in the analysis
• Analyzing the propagation channels of disinformation based on the identified primary and secondary social media platforms
• Modeling the impact of misinformation on public health outcomes as described in the study's conclusions

Strengths

• Data is derived from a specific application (Eu Fiscalizo), providing a defined collection source
• The analysis identifies concrete primary and secondary channels for fake news dissemination

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Last update date is unknown; freshness unverified

Provenance

Source

Cláudia Pereira Galhardi

Collection Method

Quantitative empirical study based on notifications received by the Eu Fiscalizo Brazilian application

Time Range

Likely covers the COVID-19 pandemic period, but specific dates are unknown.

Freshness

Last updated is unknown; freshness unverified.

Geography

Brazil