CIMPLE: Hybridizing knowledge graph and LLM for explaining factors contributing to misinformation

In this talk, we will present some of the results of the CIMPLE project that makes use of generative AI to counter information manipulation. We present the CIMPLE Knowledge Graph that collects factchecks as well as claims and social media posts that convey some misinformation. We introduce the notion of factors that include political leaning, emotion, sentiment, the usage of propaganda and persuasion techniques or the support of conspiracy theories. We show to what extent LLM can be used to label misinformation and we present preliminary experiments that leverage knowledge graph embeddings to either identify misinformation spreaders, or to provide a finer-grained characterization of the phenomenon.