A Survey for News Credibility in Social Networks

Abstract

Text mining has been a vital area that has been linked to some fields of research such as machine learning, data analysis and gathering, and information recovery. To extract knowledge and information, Natural Language Processing (NLP) was used alternative techniques. Text mining analyses unstructured data to provide critical data and information plans in a timely manner. Nowadays everyone uses online communication activities to keep in touch with others in their daily life. As a result, they're a great way to connect. Not sorting in a paragraph in a format suitable for word recognition has become a point of contention. intensity can cause a variety of inconsistencies, such as lexical, semantic, linguistic, and syntactic ambiguities, determining the proper data arrangement. Information and data are required for learning things and reaching knowledge. This paper covered how to use text mining to determine the credibility of news on social media. The findings of this study could be used as the basis for future text mining research.

A Smart Framework for Enhancing Automated Teller Machines (ATMs) Fraud Prevention

“…For the example of social media, we are currently facing a very increasing phenomenon of customizing fraud campaigns over the social media and SMSs using some fake information and news to be able to steal the clients" banking data, which leads to being able to attack their banking channels and take their money [15,16].…”