CimpleKG: A Continuously Updated Knowledge Graph on Misinformation, Factors and Fact-Checks

Burel, Grégoire; Mensio, Martino; Peskine, Youri; Troncy, Raphael; Papotti, Paolo and Alani, Harith (2024). CimpleKG: A Continuously Updated Knowledge Graph on Misinformation, Factors and Fact-Checks. In: ISWC 2024, 23rd International Semantic Web Conference (Demartini, Gianluca; Hose, Katja; Acosta, Maribel; Palmonari, Matteo; Cheng, Gong; Skaf-Molli, Hala; Ferranti, Nicolas; Hernández, Daniel and Hogan, Aidan eds.), 11-15 Nov 2024, Baltimore, Maryland, USA.

Abstract

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.

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