{'fraction_non_alphanumeric': 0.012534818941504178, 'fraction_numerical': 0.0, 'mean_word_length': 4.991666666666666, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
News Credibility Measure Utilizing Ontologies & Semantic Weighing Schemes (NCMOSWS)

The media news sources have increased dramatically. This brings to the service news credibility issue which emerges to become one of the most important issues concerning assessment of news items with respect to either the news editors' personnel or the readers of news items. We tried to measure news credibility via machine and introduce a novel approach via building NCMOSWS; a model that utilizes well founded weighing semantic methods as well as ontology to assess news credibility. We apply our model on the RSS of a set of news agencies and show that the model is highly reliable on measuring partial credibility of news items.