{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T23:51:42Z","timestamp":1778543502366,"version":"3.51.4"},"reference-count":31,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.mdpi.com"],"crossmark-restriction":true},"short-container-title":["Data"],"abstract":"<jats:p>This study investigates the development and application of the GDELT (Global Database of Events, Language, and Tone) news database. Through experiments, we conducted a quantitative statistical analysis of the GDELT event database to evaluate its practical characteristics. The results indicate that although the database achieves comprehensive coverage across all countries and regions and includes most major global media outlets, the accuracy rate of its key fields is only approximately 55%, with a data redundancy as high as 20%. Based on these findings, while the GDELT data demonstrates good coverage and data integrity, data correction and deduplication are recommended before its use in research contexts and industrial applications. Subsequently, a survey of the existing literature reveals that current studies using GDELT primarily focused on event-related metrics, such as event quantity, tone, and GoldsteinScale, for application in international relations analysis, crisis event prediction, policy effectiveness testing, and public opinion impact analysis. Nevertheless, news constitutes a fundamental channel of information dissemination in media networks, and the propagation of news events through these networks represents a critical area of study for information recommendation, public opinion guidance, and crisis intervention. Existing research has employed the Event, GKG, and Mentions tables to construct cross-national news flow network models. However, the informational correlations across different data table fields have not been fully leveraged in preliminary data selection, leading to substantial computational overhead. To advance research in this field, this study employs chained list queries on the Event and Mentions tables within GDELT. Using social network analysis, we constructed a media co-occurrence network of event reports, through which core hubs and associative relationships within the event dissemination network are identified.<\/jats:p>","DOI":"10.3390\/data10100158","type":"journal-article","created":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T09:37:21Z","timestamp":1759311441000},"page":"158","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Research on the Development and Application of the GDELT Event Database"],"prefix":"10.3390","volume":"10","author":[{"given":"Dengxi","family":"Hong","sequence":"first","affiliation":[{"name":"College of Systems Engineering, National University of Defense Technology, Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zexin","family":"Fu","sequence":"additional","affiliation":[{"name":"College of Systems Engineering, National University of Defense Technology, Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Systems Engineering, National University of Defense Technology, Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Pan","sequence":"additional","affiliation":[{"name":"College of Systems Engineering, National University of Defense Technology, Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Aler Tubella, A., Cranefield, S., Frantz, C., Meneguzzi, F., and Vasconcelos, W. (2020, January 9). Mining International Political Norms from the GDELT Database. Proceedings of the Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII (COIN\/COINE), London, UK.","DOI":"10.1007\/978-3-030-72376-7"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1057\/s41599-023-02525-w","article-title":"The effect of fluctuations in bilateral relations on trade: Evidence from China and ASEAN countries","volume":"11","author":"Wang","year":"2024","journal-title":"Humanit. Soc. Sci. Commun."},{"key":"ref_3","first-page":"19","article-title":"Tracking hurricane dorian in GDELT and twitter","volume":"1","author":"Owuor","year":"2020","journal-title":"Agil. GISci. Ser."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Voukelatou, V., Pappalardo, L., Miliou, I., Gabrielli, L., and Giannotti, F. (2020, January 6\u20139). Estimating countries\u2019 peace index through the lens of the world news as monitored by GDELT. Proceedings of the 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), Sydney, Australia.","DOI":"10.1109\/DSAA49011.2020.00034"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Deng, S., Rangwala, H., and Ning, Y. (2020, January 6\u201310). Dynamic Knowledge Graph Based Multi-Event Forecasting. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, San Diego, CA, USA.","DOI":"10.1145\/3394486.3403209"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3464976","article-title":"Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning","volume":"16","author":"Zhao","year":"2021","journal-title":"ACM Trans. Knowl. Discov. Data"},{"key":"ref_7","first-page":"1","article-title":"GDELT: Global Data on Events, Location and Tone, 1979\u20132012","volume":"2","author":"Kalev","year":"2013","journal-title":"ISA Annu. Conv."},{"key":"ref_8","unstructured":"The GDELT Project (2025, September 03). GDELT 2.0: Our Global World in Realtime [EB\/OL]. Available online: https:\/\/blog.gdeltproject.org\/gdelt-2-0-our-global-world-in-realtime\/."},{"key":"ref_9","first-page":"22","article-title":"A Comparative Study on Sample Size Calculation Methods","volume":"1","author":"Yuan","year":"2013","journal-title":"Stat. Decis. Mak."},{"key":"ref_10","first-page":"129","article-title":"Comparative Study and Evaluation of Open-Source Incident Repositories","volume":"17","author":"Li","year":"2022","journal-title":"J. China Electron. Technol. Acad."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1007\/s42001-025-00409-4","article-title":"Deduplication of the media-based event databases","volume":"8","author":"Deepti","year":"2025","journal-title":"J. Comput. Soc. Sci."},{"key":"ref_12","unstructured":"Jayanetti, H.R., Frydenlund, E., and Weigle, M.C. (2023). Exploring Xenophobic Events Through Gdelt Data Analysis. arXiv."},{"key":"ref_13","first-page":"1956","article-title":"Quantitative expression of conflict intensity and detection of conflict events based on GDELT news data","volume":"23","author":"Qiu","year":"2021","journal-title":"J. Geo Inf. Sci."},{"key":"ref_14","first-page":"67","article-title":"A quantitative study of big data and bilateral relations: Taking GDELT and China-US relations as an example","volume":"4","author":"Chi","year":"2019","journal-title":"Int. Political Sci."},{"key":"ref_15","first-page":"1127","article-title":"Evolution of geopolitical relations between China and Southeast Asian countries based on GDELT database","volume":"30","author":"Li","year":"2021","journal-title":"World Geogr. Res."},{"key":"ref_16","first-page":"25","article-title":"Research on International Impact of \u201cSouth China Sea Arbitration Case\u201d Based on GDELT Database","volume":"9","author":"Lin","year":"2021","journal-title":"China Soft Sci."},{"key":"ref_17","unstructured":"Wang, J. (2023). \u201cBelt and Road\u201d and Southeast Asian Countries\u2019 Image Perception of China: An Empirical Study Based on GDELT Big Data. Nanyang Stud., 73\u201389."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1108\/JRF-06-2022-0168","article-title":"News-based sentiment: Can it explain market performance before and after the Russia-Ukraine","volume":"24","author":"Hoang","year":"2023","journal-title":"J. Risk Financ."},{"key":"ref_19","unstructured":"Cheng, Y., Cheng, D., and Lu, J. (2021). The impact of international public opinion on the introduction of foreign investment in China: An empirical study based on Gdelt news big data. World Econ. Res., 19\u2013135."},{"key":"ref_20","first-page":"52","article-title":"Does negative host country public opinion affect China\u2019s outward foreign direct investment?\u2014A test based on GDELT big data","volume":"2","author":"Jin","year":"2023","journal-title":"Int. Econ. Coop."},{"key":"ref_21","first-page":"113","article-title":"The impact of international public opinion on China\u2019s inbound tourism trade\u2014An empirical study based on Gdelt news big database","volume":"2","author":"Cheng","year":"2022","journal-title":"Soc. Sci. Res."},{"key":"ref_22","unstructured":"Xie, Y. (2023). Research on the Impact of Bilateral Relations on China\u2019s Cross-border E-Commerce Exports. [Master\u2019s Thesis, Zhejiang University]."},{"key":"ref_23","first-page":"1843","article-title":"Research on Measurement and Community Detection of Geographic Multiple Flow Based on Multi-layer Network Methods","volume":"26","author":"Liang","year":"2024","journal-title":"J. Geo Inf. Sci."},{"key":"ref_24","first-page":"15","article-title":"Analysis of Global News Flow Patterns Based on Complex Networks","volume":"42","author":"Mo","year":"2020","journal-title":"J. Southwest Univ. (Nat. Sci. Ed.)"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Shayan, A., Niccol\u00f2, D.M., Michele, A., Etta, G., Cinelli, M., and Quattrociocchi, W. (2024). The drivers of global news spreading patterns. Sci. Rep., 14.","DOI":"10.1038\/s41598-024-52076-6"},{"key":"ref_26","first-page":"138","article-title":"Media Hegemony, Cultural Circle and the Global Dissemination of the Orientalist Discourse: Taking Public Opinion on China in GDELT as an Example","volume":"34","author":"Gong","year":"2019","journal-title":"Sociol. Stud."},{"key":"ref_27","unstructured":"Rogers, E.M. (1962). Diffusion of Innovations, Free Press of Glencoe."},{"key":"ref_28","unstructured":"Faust, K. (1994). Social Network Analysis: Methods and Applications, Cambridge University Press."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"100070","DOI":"10.1016\/j.commtr.2022.100070","article-title":"Public perception of electric vehicles on reddit over the past decade","volume":"2","author":"Ruan","year":"2022","journal-title":"Commun. Transp. Res."},{"key":"ref_30","first-page":"100872","article-title":"Public perception of electric vehicles on Reddit and Twitter: A cross-platform analysis","volume":"21","author":"Ruan","year":"2023","journal-title":"Transp. Res. Interdiscip. Perspect."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Ruan, T., Kong, Q., Zhang, Y., McBride, S.K., and Lv, Q. (2020, January 17\u201319). An analysis of twitter responses to the 2019 ridgecrest earthquake sequence. Proceedings of the 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA\/BDCloud\/SocialCom\/SustainCom), Exeter, UK.","DOI":"10.1109\/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00127"}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/10\/10\/158\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T04:12:43Z","timestamp":1759983163000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/10\/10\/158"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,1]]},"references-count":31,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2025,10]]}},"alternative-id":["data10100158"],"URL":"https:\/\/doi.org\/10.3390\/data10100158","relation":{},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,1]]}}}