SadeemAlharthi/A-New-Benchmark-Dataset-for-Arabic-Fake-News-Detection
One of the problems faced concerning Arabic fake news detection is the scarcity of Arabic datasets. We believe it is important to available a dataset is written in the Arabic language explicitly created for this domain. The existing studies of Arabic fake news detection are limited because most of the dataset has not been available to access for research. We have built for the purpose of fake news detection the dataset of Arabic Fake News Tweets.
This dataset provides a collection of Arabic tweets specifically labeled as fake or real news, gathered from October 2020 to June 2021. It offers raw tweet IDs that can be rehydrated to full tweet objects. This resource is invaluable for researchers and data scientists working on detecting misinformation in the Arabic language.
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Use this if you are a researcher, academic, or data scientist focusing on building or evaluating systems to automatically identify fake news in Arabic social media content.
Not ideal if you are looking for a tool to detect fake news in real-time or if you require a dataset in a language other than Arabic.
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Jun 13, 2022
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