CimpleKG: A continuously updated knowledge graph on misinformation, factors and fact-checks

Burel, Gregoire; Mensio, Martino; Peskine, Youri; Troncy, Raphaël; Papotti , Paolo; Alani, Harith
ISWC 2024, 23rd International Semantic Web Conference, 11-15 November 2024, Baltimore, USA

Best Resource Paper Award

Misinformation has a pervasive thread running through society, causing confusion, mistrust, and uncertainty. The detection, tracking, and countering of misinformation is a very active research area with an intense need for data about circulating claims and their attributes, fact-checks, and verification outcomes. Although various relevant datasets exist, they tend to be of limited scope in terms of time coverage, topics, country, language, and quantity. In this paper, we introduce CimpleKG as an open and continuously updated semantic resource. CimpleKG links daily updated data from 77 fact-checking organisations with over 217k documents from static misinformation datasets.
The knowledge graph is also augmented with relevant textual features and entities extracted from the textual data integrated into the graph. At the time of writing, the knowledge graph contains more than 15m triples, including 263k+ distinct entities and 1m textual features with over 203k fact-checked claims, spanning 26 languages and 36 countries. CimpleKG is publicly available and has been used in various research
studies and web applications.

HAL
Type:
Conference
City:
Baltimore
Date:
2024-11-11
Department:
Data Science
Eurecom Ref:
7946
Copyright:
© Elsevier. Personal use of this material is permitted. The definitive version of this paper was published in ISWC 2024, 23rd International Semantic Web Conference, 11-15 November 2024, Baltimore, USA and is available at :

PERMALINK : https://www.eurecom.fr/publication/7946