  The proliferation of bias and propaganda on social media is an increasingly
significant concern, leading to the development of techniques for automatic
detection. This article presents a multilingual corpus of 12, 000 Facebook
posts fully annotated for bias and propaganda. The corpus was created as part
of the FigNews 2024 Shared Task on News Media Narratives for framing the
Israeli War on Gaza. It covers various events during the War from October 7,
2023 to January 31, 2024. The corpus comprises 12, 000 posts in five languages
(Arabic, Hebrew, English, French, and Hindi), with 2, 400 posts for each
language. The annotation process involved 10 graduate students specializing in
Law. The Inter-Annotator Agreement (IAA) was used to evaluate the annotations
of the corpus, with an average IAA of 80.8% for bias and 70.15% for propaganda
annotations. Our team was ranked among the bestperforming teams in both Bias
and Propaganda subtasks. The corpus is open-source and available at
https://sina.birzeit.edu/fada
