--- url: "https://predictiontoolkit.com/tools/gdelt/" publisher: "PredictionToolkit" dateModified: "2026-11-02" --- [← News & OSINT]() ![GDELT logo]() Dataset # GDELT: open news-event datasets and geopolitical research GDELT converts news coverage into structured event and knowledge-graph records for researchers studying events, actors, locations and media narratives. [**4.0**/ 5Editorial rating]() [Editorial assessment]() [Explore GDELT datasets and research tools]() gdeltproject.org **Available on:** Web · Datasets · BigQuery **Pricing:** [See plans and costs ↓]() [Screenshots]() [Explore alternatives]() **Availability: public** [News & OSINT]() [Politics & elections]() +1 more [Historical data]() ## Screenshots and interface Product preview1 / 1 The project’s public research and data-access presentation. ## What is GDELT? Analysis tools, raw downloads and documented BigQuery datasets offer ways to investigate reporting patterns around a geopolitical question. Event records describe extracted actors, actions and geography; the knowledge graph adds entities, themes and relationships in coverage. These outputs reflect both what media report and how automated systems classify it. Duplicate articles, uneven attention and changing source availability can distort counts. A coverage spike is not a verified number of events or a direct probability signal, and a coded event alone does not establish a contract’s settlement source. ### Who it is for - OSINT researchers investigating geopolitical narratives and reporting patterns. - Developers building news-monitoring and event-analysis workflows. ## Features and coverage - **Structured event records** Explore actors, actions and geographic context extracted from news reports. - **Knowledge-graph research** Investigate entities, themes and relationships represented in media coverage. - **Multiple data-access paths** Use public analysis tools, raw downloads or documented BigQuery datasets, checking each external platform’s requirements. ## Workflows with GDELT ### Investigate a reporting pattern Define topic, location and time window, filter the records and inspect the original articles behind relevant results. ### Establish a monitoring baseline Keep queries and source selection consistent when comparing coverage, before interpreting an apparent increase. ## Pricing and total cost GDELT describes its database and public analysis services as free and open. External computing and BigQuery usage may incur separate charges. **Access:** Public documentation and downloads are available; external analysis platforms have their own access requirements. ## Getting started **Before you start:** Automated extraction can misclassify material. 1. Select the event dataset or knowledge-graph dataset for the question. 2. Define a consistent topic, geography and date range. 3. Inspect original reporting before treating a record as evidence. Public docs and downloads are accessible; any external analysis environment has separate access conditions. ## Useful links ### What to check - Automated extraction can misclassify material. - Duplicate coverage and uneven media attention can distort counts. - Verify material claims against original reporting and authoritative sources. - A research record is not automatically the settlement source named by a prediction contract. - External compute and BigQuery can add costs despite free public data. A closer look ## Ratings & reviews Editorial rating **4.0**/ 5 0 user reviews PredictionToolkit editorial ### Our take on GDELT A broad open-data resource for event research and reproducible news analysis. Its automated classifications require checking the underlying sources before using them as evidence. Based on documented features, setup and access terms. [How we rate]() ### User reviews 0 The main score switches to user ratings after 5 published reviews. **Be the first to share your experience** A specific example helps the next person choose the right tool. ## Related tools [Browse category]() ![FactsAI official research API presentation]() ![FactsAI logo]()[FactsAI]() Data API**3.5**Editorial A prepaid research API for cited factual answers, with source checking left to the research workflow. - Access API Request cited factual research separately from measuring media attention. ![Mention Markets public demo with term search, cumulative mention chart and event filters.]() ![Mention Markets logo]()[Mention Markets]() Research tool**3.5**Editorial Transcript and post search with word-form controls, frequency charts and adjustable context for mention-market research. - Access Web Also in News and OSINT Research Tools. ![Globe public Synapse research globe and news workspace]() ![Globe logo]()[Globe]() Research tool**3.0**Editorial A geographic news workspace for finding events and checking related prediction-market context. - Access Web Compare working with raw news data and visual event exploration. ## Frequently asked questions about GDELT ### Does more coverage mean a higher event probability? Not necessarily. Coverage measures media attention and can change because of duplication or the availability of sources. ### Can GDELT settle a Polymarket question? GDELT is a research dataset. Follow the source and conditions specified in the actual contract. ### Is there a data-access price? GDELT calls its database and public analysis service free and open; external compute or BigQuery may be billed separately. ### What access do I need? Public docs and downloads are available. Check the account and access rules of any external analysis platform you choose. In this profile