A large-scale TV video and metadata database for French political content analysis and fact-checking

Frédéric Rayar (1) , Mathieu Delalandre (1) , Van-Hao Le (1)

1 LIFAT - Laboratoire d'Informatique Fondamentale et Appliquée de Tours

In this paper, we introduce a large-scale multimodal publicly available dataset 1 for the French political content analysis and factchecking. This dataset consists of more than 1, 200 fact-checked claims that have been scraped from a fact-checking service with associated metadata. For the video counterpart, the dataset contains nearly 6, 730 TV programs, having a total duration of 6, 540 hours, with metadata. These programs have been collected during the 2022 French presidential election with a dedicated workstation.

Mots clés: multimedia verification; fact-checking; evaluation and benchmarking; large-scale dataset; TV workstation

Domaines: Informatique [cs]

Frédéric Rayar, Mathieu Delalandre, Van-Hao Le. A large-scale TV video and metadata database for French political content analysis and fact-checking. International Conference on Content-based Multimedia Indexing, Sep 2022, Graz, Austria. ⟨hal-03747122⟩