
This is the dataset and metadata accompanying the paper submission titled "EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles". For copyright and liability reasons, we do not publicly distribute the complete dataset. Instead, we provide the software used to create the dataset (DOI: 10.5281/zenodo.10492913) and a list containing the URLs of all the posts in the full dataset (this repository). To reconstruct our dataset: use the software to extract the articles corresponding URL list. Please note that some posts may no longer be available or may have been modified. If you are researching disinformation, propaganda, or a relevant field: please contact the authors, we may be able to provide you with the original dataset. The fields are provided in the following format: Field name Description Format debunk_id ID of the debunk on EUvsDisinfo website to which the article refers alphanumeric string keywords The topics covered in the article comma-separated string article_id Unique ID of the article alphanumeric string article_publisher The name of the article publisher string article_domain The domain where the article was published. Different domains can refer to the same publisher string article_url The url where the article can be collected from by the software string article_language The language in which the article was written string debunk_date The date when the debunk was published date (dd-mm-yyyy) class Class assigned based on whether the article is marked as disinformation or appears in the debunk to in the context of disprooving disinformation string (trustworthy or disinformation)
| 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). | 0 | |
| 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. | Average | |
| 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 |
