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Dataset of articles published on the IISD SDG Knowledge Hub (sdg.iisd.org). The SDG Knowledge Hub is an online resource publishing news and commentary regarding the implementation of the United Nations’ 2030 Agenda for Sustainable Development and the Sustainable Development Goals (SDGs). Labels assigned by the authors and validated by SDG Knowledge Hub editors indicate which of the 17 SDGs an article addresses. The data set was generated for the following publications. Please consider citing the publication if you use the data. Wulff, D. U., Meier, D. S., & Mata, R. (2023). Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals. arXiv preprint arXiv:2301.11353. The data contain 9,172 articles downloaded on September 15th, 2021, and are shared with permission from the SDG Knowledge Hub. The comma-separated data file includes the following columns: url - URL of the article. title - Title of the article. type - Type of article. Either "News", "Policy briefs", "Guest articles", or "Generation 30". text - Text of the article. date - Publishing date of article. sdgs - SDG labels assigned by authors and editors. SDG-01 to SDG-17 - SDG indicators extracted from the author and editor label.
Natural language processing, UN Sustainable Development Goals
Natural language processing, UN Sustainable Development Goals
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 9 | |
| downloads | 4 |

Views provided by UsageCounts
Downloads provided by UsageCounts