Table · dataset · 2017
United Nations General Debate Corpus 1946-2025
Listed in DataCite
Every year since 1946, the General Debate has taken place at the beginning of the UN General Assembly session.
Description
Representatives from all UN member states deliver an address, discussing the issues they consider most important in global politics, revealing their governments’ positions, and seeking to persuade other states of their perspectives. The annual UN General Debate statements provide invaluable information for scholars of international relations – comparable globally and over time.
However, these texts are stored as poor quality images without relevant metadata, preventing researchers from applying data science methods. This paper introduces the complete UN General Debate Corpus (UNGDC). Building on a previous incomplete release of UNGDC, we have extended the corpus to cover the entire 1946-present period, included additional data on all speakers, and provided advanced search and data visualisation tools on a <a href="ungdc.bham.ac.uk">new website</a>.
Read the rest (1 more)
The complete corpus contains 11,141 speeches from 202 countries, including historical countries – making it the most comprehensive, unique, and accessible collection of global political speeches.
Links
Where it is published
- Repository landing page dataverse.harvard.edu/citation?persistentId=doi%3A10.7910%2FDVN%2F0TJX8Y ↗
landing page · from DataCite
- DOI doi.org/10.7910/dvn/0tjx8y ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Zero v1.0 Universal creativecommons.org/publicdomain/zero/1.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1177/00223433241275335 doi.org/10.1177/00223433241275335 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.7910/dvn/0tjx8y ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.7910/dvn/0tjx8y ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Political science
- From keywords
- Humanities · Social Science
- Inferred from text
- Image 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.7910/dvn/0tjx8y | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| concepts[field].fos:political-science | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].local:field:humanities | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Arts and Humanities'] |
| concepts[field].local:field:social-science | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Social Sciences'] |
| concepts[modality].local:modality:image | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| spatial | source · DataCite | connector:datacite@1.0.0 | |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| updated_date | source · DataCite | connector:datacite@1.0.0 | |
| version_label | source · DataCite | connector:datacite@1.0.0 |