Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering
Researchers introduce Claim2Vec, a multilingual embedding model designed to group similar fact-checking claims. This innovation aims to improve automated fact-checking by efficiently clustering recurrent misinformation claims across languages.