GDELT has become the default reference point for anyone exploring global news data, and its scale is hard to ignore. Free, vast and frequently cited by researchers and AI systems alike, the Global Database of Events, Language, and Tone monitors news media worldwide and makes event data and article metadata openly available.
According to Opoint, but for firms operating in risk and compliance, the question is not whether GDELT is impressive. It is whether it was ever built for the job.
GDELT began life as an academic project, designed to track geopolitical events, conflict patterns and media tone at a macro level for social science research. That origin shapes everything about how it performs, and where it struggles once applied to production compliance workflows.
The first issue is source quality. GDELT ingests content broadly, without the manual curation that adverse media screening depends on, meaning spam sites and low-credibility aggregators sit alongside legitimate press. By contrast, Opoint’s source base of 250,000+ outlets is manually curated by 40 news analysts, with its SafeFeed methodology filtering spam and duplicate domains before content reaches the feed.
Entity resolution presents a second gap. GDELT codes actors using a system built for geopolitical tracking, not corporate matching, and lacks LEI, FIGI, PermID or Wikidata identifiers. That leaves compliance teams to build their own entity resolution layer to confirm an article actually refers to the counterparty on their books. Opoint attaches these corporate identifiers directly at the point of indexing.
Timing matters too. GDELT updates in 15-minute batches, a pace that summarises events rather than monitoring them in real time. Opoint says it delivers articles within an average of under seven minutes of publication across its full source base, a gap that matters when an adverse media hit lands ahead of a transaction or board meeting.
Deduplication is the final structural difference. Without aggressive deduplication, a single story can generate hundreds of GDELT records as it syndicates across outlets, creating alert fatigue and distorted volume signals on risk dashboards. Opoint deduplicates cross-source before delivery, consolidating coverage into one alert with a source count attached.
None of this makes GDELT a poor tool. For academic research or early-stage prototyping where cost is the binding constraint, it remains a reasonable starting point. But for production adverse media screening or continuous counterparty monitoring, where a missed hit or false positive carries real financial and compliance consequences, the infrastructure needs to be purpose-built rather than repurposed.
Read the full Opoint post here.
Copyright © 2026 RegTech Analyst
Copyright © 2026 RegTech Analyst
