Disciplines

🗳 Election Intelligence (ELECTINT)

🔍 Lookup

📊 Pre-built Queries · Election Intelligence

📜 Playbook — Election Intelligence collection

1. Direction — frame the requirement for Election Intelligence: what decision does this support, by when?
2. Collection — collect from the 0 mapped sources (0 free) — filter the catalog by ELECTINT; capture provenance and observe OPSEC.
3. Processing — normalize, de-duplicate and enrich the collected data.
4. Analysis — correlate against local holdings; apply ACH; assign confidence.
5. Dissemination — open a case, draft a report, share via STIX/MISP.
6. Feedback — set an alert rule / watchlist to monitor for change.

⚡ AI Skills & Automation

Automate unattended via the cron pipeline (collect → ingest → resolve → enrich → score → alert).

🗃 Data Management

🧩 Advanced Capabilities

✨ Enrichment pathways

🎯 Mission

ELECTINT collects and analyzes data on electoral processes, results, campaign finance, voter integrity, and information operations targeting elections. It answers whether an electoral outcome is credible, where manipulation or foreign influence is occurring, and how narratives are shaping voter behavior.

📡 Collection methods

• Real-time results scraping and tabulation-anomaly monitoring at precinct level
• Campaign-finance and dark-money network analysis from disclosure filings
• Voter-roll and registration statistics analysis for turnout outliers
• Coordinated inauthentic behavior (CIB) and disinformation detection across platforms
• Aggregation of election-observer and poll-watcher reporting
• Electoral boundary and gerrymander analysis

📚 Key sources & datasets

🎫 Data points produced

🔧 Tools & frameworks

• Gephi
• Maltego
• OpenRefine
• Botometer/CIB heuristics
• Flourish
• Python pandas

📜 Election Intelligence Tradecraft

1. Scrape official results feeds, campaign-finance filings and voter-registration statistics as they publish.
2. Normalize precinct and candidate tables, reconcile finance records, and ingest social streams for election narratives.
3. Test results for anomalies (turnout outliers, Benford's-law and last-digit patterns) and map campaign-finance networks.
4. Link coordinated inauthentic accounts and dark-money flows to sponsors through graph analysis.
5. Publish integrity assessments and influence-operation alerts to the governance dashboard.
6. Flag contested precincts and refer foreign-influence indicators for SOCMINT deep-dive.

📊 Dashboard KPIs

🔍 Pre-built queries

🔗 Cross-discipline pivots

🗃 Data Management

🧩 Advanced Capabilities