Foundational explainers and practical, long-form guides on election technology, information integrity, AI, verification, and OSINT.
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A methodology for investigating coordinated disinformation and influence operations during elections — scoping, preservation, network analysis, and responsible reporting.
How to investigate political ads using public ad libraries — uncover who paid, who was targeted, how much was spent, and how to turn transparency data into evidence.
Verify political videos, deepfakes, and miscaptioned footage during elections using source tracing, keyframe analysis, synthetic-media checks, and corroboration.
A step-by-step method to verify political images and photos shared during elections — reverse image search, metadata, geolocation, and cross-referencing.
Learn the core digital verification process — establishing the provenance, source, date, and location of online images, videos, and claims in election investigations.
How open-source intelligence (OSINT) methods apply to elections — verification, political ad research, election observation, and network analysis — done legally and ethically.
How artificial intelligence affects elections — synthetic media and deepfakes, recommendation systems, scaled influence operations — and how to investigate AI's use responsibly.
Understand information integrity in elections — the health of the information environment, the threats of misinformation and disinformation, and how to build resilience.
An overview of election technology — the systems used to register voters, cast and count ballots, and publish results — plus the transparency and security concepts that matter.
A beginner's guide to the technologies used across the electoral cycle — voter registration, ballot casting, counting, and results — and how their integrity is verified.