Description du sujet de thèse

To address the issues of misinformation, disinformation, and malinformation (MDM), project SURFING (Using argumentation for fack-checking) proposes robust and holistic fact verification methods. The proposed methods can reduce data bias, aggregate information across multiple statements, and yield global conclusions. While humans can utilize background and domain knowledge to argue about the veracity of a fact, computers do not normally have access to such information. To capture this real-world background knowledge, we aim to mine arguments from the web and construct domain-agnostic fact graphs that indicate if facts attack/support each other. We then propose to develop argumentation theory-based graph algorithms to aggregate and argue over this knowledge. Based on these steps, we will arrive at the truthfulness value of a given argument that considers all the background knowledge available.

Contexte de travail

PhD thesis in the framework of France-Arizona joint PhD program