text classification

DIPROMATS

The DIPROMATS 2024 dataset is designed for the analysis of propaganda on social media, addressing both the techniques used and the underlying narratives. It contains tweets manually annotated in various languages and structured into three levels of analysis: binary detection of propaganda, classification into three groups of propaganda techniques, and detailed categorization into seven specific techniques. Additionally, it includes a multi-class, multi-label classification task to identify propaganda narratives associated with international actors.

DIPROMATS-ES 2023

DIPROMATS ES 2023 is composed of composed of tweets  in Spanish written by diplomats. It includes 9591 tweets, 2997 of them published by 25 Chinese authorities, 1391 by 22 Russian authorities, 2465 tweets were published by 48 European authorities, and 40 authorities from the US provide 2738 tweets. The annotations provide information about whether a tweet contained propaganda techniques, 4 groups of propaganda techniques, 15 types of propaganda techniques.

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