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Top1. Introduction
It is a fact that business field currently consider social networking seriously (Idrees & Ibrahim, 2015) (Idrees, ElSeddawy, & Zeidan, 2019). Social networks such as Facebook and Twitter have experienced a vital increase in their popularity over the last decades (Helmy, Khedr, Kolief, & Haggag , 2019). This image emerged the need for research. Facebook could be assigned as a leading social network with the users which reached over 2.3 billion as of July 2017 (Afify, Sharaf Eldin, Khedr, & Alsheref, 2019). The most vital feature of social networks is their ability to share users’ generated content which reflects their personality. Users are also able to create or share fake news as there is no measurements for credibility of the social networks’ content. Different researchers have focused on detecting the polarity of the posts as well as detecting fake news (Khedr, Idrees, & Elseddawy, 2016).
People were able to communicate more freely through social media. Regardless of the item's credibility, news and information move quickly. People who had a bad experience or simply heard about it without checking or verifying it would spread false information (Liu, Wang, & Huang, 2018). Text mining is a technique for detecting credibility (Xu, Wang, Wang, & Yang, 2020). The possibility to share other users' posts heightens this wonder and creates a cascading effect that can lead to the spread of misleading information. In the past, the improvement of social networking sites significantly has empowered how people communicate with others through media. The proposed process seeks to overcome this hindrance by cross-relating information streams with contrasting diverse degrees of enduring quality (De Maio, Fenza, Gallo, Loia, & Volpe, 2020).
The development of social networking sites has more noteworthy reach over the globe (Khedr, Nagm Aldeen, & Abdel-fattah, 2017). The web continues to be the foremost vital perspective for the mass media. The social media sites such as Facebook are currently the most popular online stage for the conclusion clients to share their data and engagement in their way of life (Balaji & S, 2019). Social media especially Facebook became a platform for everyone in our society to express their opinions and spreading news even it was fake (Islam, et al., 2020), (Mohsen, Idrees, & Hassan, 2019) .
Data is a critical component in any field (Mostafa, Khedr, & Abdo, 2017). While structured data has its bottlenecks (Khedr, Kholeif, & Hossam, 2015) (Khedr, Kholeif, & Hessen, 2015), however, data that is represented in a text format has more challenges (Khedr & El Seddawy, 2015). Unstructured data or information is really a critical issue that confronted on social media (Othman, Hassan, Moawad, & Idrees, 2018). This indicates the presence of enormous unorganized data or information (Sultan, Khedr, Idrees, & Kholeif, 2017). It could be precious data or valuable information (Hassan H. A., Dahab, Bahnassy, Idrees, & Gamal, 2015). The difficulty is how to convert the unstructured data to structured and organized one, but it could be included information like actualities (Hassan H. A., Dahab, Bahnasy, Idrees, & Gamal, 2014). The most common results can be attributed to the most recent growth in social networking sites data that help in determining the news credibility (Mohsen, Idrees, & Hassan, 2019).