Data describing the relationship between world news and sustainable development goals

Published: 05-02-2021| Version 1 | DOI: 10.17632/xjzztkh7gt.1
Contributors:
Gergely Honti,
Tímea Czvetkó,
Viktor Sebestyén,
János Abonyi

Description

The data article presents a dataset and a tool for news-based monitoring of sustainable development goals defined by the United Nations. The presented dataset was created by structured queries of the GDELT database based on the categories of the World Bank taxonomy matched to sustainable development goals. The Google BigQuery SQL scripts and the results of the related network analysis are attached to the data to provide a toolset for the strategic management of sustainability issues. The network formed based on how countries appear in the same news can be used to explore the potential international cooperation. The network formed based on how topics of World Bank taxonomy appear in the same news can be used to explore how the problems and solutions of sustainability issues are interlinked. Type of data: Statistics of sustainability news (Data table) Network for category analysis (Data table) Network for country co-occurrence analysis (Data table) World Bank taxonomy used for the categorisation of the news mapped to sustainable development goals by experts (Data table) Google Big Query SQL code (Program Code) How data were acquired: BigQuery SQL queries of the GDELT Global Knowledge Graph based on World Bank taxonomy matched to sustainable development goals

Files

Steps to reproduce

BigQuery SQL queries of the GDELT Global Knowledge Graph based on World Bank taxonomy matched to sustainable development goals Parameters for data collection: News appeared in 2019 and were categorised to topics of sustainability according to the World Bank taxonomy. Data source location: GDELT Global Knowledge Graph at Google Cloud contains categorised news from all of the countries of the world updated every 15 minutes (www.gdeltproject.org)