SDG Knowledge Hub: 9,172 News Articles Labeled by Sustainable Development Goals

9,172 articles published on the IISD SDG Knowledge Hub between an unspecified start date and September 15, 2021. The dataset was created by researchers at the University of Basel for a study on automated labeling of the UN Sustainable Development Goals. Each article is labeled by authors and editors to indicate which of the 17 SDGs it addresses.

Use Cases

• Train multi-label text classifiers based on SDG labels assigned by authors and editors.
• Analyze trends in media coverage of specific Sustainable Development Goals based on article dates and content.
• Perform topic modeling on the article text to identify common themes within SDG-related news.
• Benchmark automated SDG labeling algorithms against human-assigned labels.

Strengths

• 9,172 articles provide a substantial corpus for analysis.
• Labels are validated by SDG Knowledge Hub editors, suggesting a degree of quality control.
• Includes multiple article types (News, Policy briefs, Guest articles, Generation 30) for varied text analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• The temporal coverage is only defined by a snapshot date, lacking a clear start date.

Provenance

Source

IISD SDG Knowledge Hub (sdg.iisd.org)

Collection Method

Articles were downloaded from the online resource with permission.

Time Range

Snapshot captured on September 15, 2021. Full publication date range is unspecified.