AFOS: Brazil 2026 Presidential Election Divergence Data
by Felipe, Andre / AFOS Analytics Dataverse·Updated 10d ago
Available on 1 platform
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Description
Brazil's 2026 presidential election cycle is monitored by the AFOS Analytics platform. The dataset cross-references prediction markets, registered polling institutes, and press coverage to flag divergence between sources, providing a daily time series and analysis snapshots. It is an observational research release by AFOS Analytics, last updated on July 12, 2026.
Use Cases
Analyzing divergence between prediction markets and traditional polls based on the daily time series per candidate.
Studying the evolution of electoral signals over time based on the dated analysis snapshots.
Researching media coverage of elections based on the inclusion of public news links.
Strengths
Cross-references data from three distinct public sources: prediction markets, polling institutes, and press coverage.
Provides a daily time series focused on divergence, offering a granular view of the 2026 election cycle.
Contains only public electoral data and is explicitly noted as compliant with Brazil's LGPD data protection law.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and file formats are unknown, which may limit suitability assessment.
Last updated 2026-07-12 20:43:52; freshness should be verified for ongoing research.
Provenance
Source
AFOS Analytics Dataverse
Collection Method
Cross-references public data from prediction markets (Polymarket), TSE-registered polling institutes, and press coverage.
Time Range
Covers the 2026 Brazilian presidential election cycle.
Freshness
Last updated on July 12, 2026.
Geography
Brazil
The description states the data is for observational research and is not investment advice or voting guidance.