Evaluating the Credibility of Arabic News in Social Media through the use of Advanced Classifier Algorithms
Mai Fadel · International Journal of Advanced Trends in Computer Science and Engineering · 2020
The aim of this paper is to evaluate the credibility of Arabic Social Media News based on classifier models and integration tools for automatic feature extraction such as image recognition and natural language processing for comments in order to provide an initiation of a large dataset.The proposed methodology involves building labeled data set consisting of Arabic news in twitter, gathering features from previous studies, extracting features, conducting a number of experiments to choose the classifier algorithm and features set to reach the highest accuracy and finally build and test the purposed system.Based on the selected classifier model, the system processes the tweet's URL and classifies it into credible or non-credible news.