AI translates 25 years of news in 100 countries, summarises 3,100-page bill in big data test | Metaglossia: The Translation World | Scoop.it
The GDELT Project, which collects and analyses global news and social data in real time, is disclosing experiments using AI to process large volumes of news and policy documents. It continuously gathers content in more than 100 languages and updates key datasets about events, relationships and images about every 15 minutes. GDELT also runs a platform translating news written in 65 languages. Recent tests include extracting leadership-change announcements and converting a 3,100-page U.S. bill into an infographic.

"
기자명Jinju Hong
2026-03-16 13:05:00


GDELT unveils AI experiments translating multilingual news, extracting leadership changes and turning a 3,100-page U.S. defence bill into an infographic.
(홍진주)] The GDELT Project, which collects and analyses global news and social data in real time, is releasing various experiments that use artificial intelligence to analyse large volumes of news and policy documents.


An online outlet, Gigazine, reported on March 15 local time that the GDELT Project is a global archive that continuously collects content published in more than 100 languages worldwide, including broadcasts, newspapers and web news, and builds it into a database. It links various elements, including people, organisations, places, events and news sources, into a single network. It provides data on events around the world, their background and trends in public opinion.


The project was founded by data scientist Kalev Leetaru and political scientist Philip Schrodt, and it collects news and social media (SNS) data from 1979 to the present. The collected data are used as a basis for analysing global political, economic and social trends by quantitatively coding social events and reactions to them.


GDELT in particular releases large datasets so researchers and journalists can use them for analysis. The data consist of three streams: event data that classify physical activity worldwide into more than 300 categories; relationship data that record people, organisations, places, topics and emotions; and data that analyse the visual story of news images. The data are updated about every 15 minutes.


GDELT also operates a translingual platform that processes global news written in 65 languages through real-time translation using its own translation system.


Recently, it has also been actively conducting analysis experiments using AI. The GDELT Project disclosed an experiment that uses a Gemini-based model to automatically extract announcements of leadership changes at governments or companies from global news and organise them into a knowledge graph. In the process, AI was used to generate reports by going beyond organising personnel information and inferring the political and economic background.


In another experiment, work was carried out to input the roughly 3,100-page U.S. National Defense Authorization Act into AI and convert the entire bill into a single infographic. In the process, various analyses were also performed, including topic analysis of the bill, organisation of related bills and generation of expected questions.


GDELT also disclosed a large-scale translation experiment. According to a February 2026 announcement, it translated about 3 million TV news broadcasts accumulated over 25 years using AI. The cost to translate a total of 62 billion characters of broadcast data amounting to about 6 billion seconds was about $74,634. This is work that is estimated to have required millions of dollars using past methods.


Such projects are assessed as examples showing the possibility that AI can comprehensively analyse vast amounts of news and policy documents. Experts say such data-based analysis could become a new tool for understanding global political and economic trends."
https://www.digitaltoday.co.kr/en/view/39425/ai-translates-25-years-of-news-in-100-countries-summarises-3100-page-bill-in-big-data-test
#metaglossia #metaglossia_mundus