2026-10-07T13:29:54Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33929857 2026-09-18T12:01:18Z category_28849 category_29161 category_28930 item_type_3 month_year_09_2026

ArabFactCheck: An Arabic Fake News Dataset with Fine-Tuned Language Models for Misinformation Detection Sanaa Kaddoura (22893581) Natural language processing Deep learning Data engineering and data science Fake News Classification Arabic Natural Language Processing (NLP) Text Classification Large Language Models Machine Learning News Articles <p dir="ltr"><i>ArabFactCheck </i>is a curated, multi-domain dataset for detecting fake news in Arabic. The dataset contains 7,691 Arabic news instances written primarily in Modern Standard Arabic and is designed to support research in natural language processing, misinformation detection, fact-checking, and explainable AI. Each fake news instance is accompanied by verification text that explains the false claim and provides supporting evidence. The news records span approximately February 2016 to July 2025.</p><p dir="ltr">Each record in the dataset is assigned a label, either real or fake. The distribution of real and fake samples is as follows:</p><ul><li>4,025 real news articles</li><li>3,666 fake news articles</li></ul><p dir="ltr">The arabfactcheck_data.jsonl file contains the complete dataset of 7,691 records. The split folder contains the corresponding training, validation, and testing splits, which can be used for model development and evaluation.</p> 2026-09-18T12:01:18Z Dataset Dataset 10.6084/m9.figshare.33929857.v1 https://figshare.com/articles/dataset/ArabFactCheck_An_Arabic_Fake_News_Dataset_with_Fine-Tuned_Language_Models_for_Misinformation_Detection/33929857 CC BY 4.0