## 9 Conclusions and Future Directions  
The world today is bombarded with a vast amount of information from various sources, making it challenging to distinguish between credible and unreliable information. Among these sources, news plays a critical role in shaping our understanding of current events and issues. However, the credibility of news information is equally important as that of general information, especially when news is generated from multiple sources in real-time. To ensure the reliability of news articles, it is crucial to develop systematic criteria that can be used for evaluation. This research aims to identify the factors that influence the credibility of digital news stories. It is essential to recognize that news reflects a society's traditions, ethics, and skills. Therefore, preserving it with credible information can benefit future viewers greatly. The study focuses on digital news stories since they have become a primary source of information in the current digital age. With hundreds of articles published daily, it is challenging to distinguish between credible and less credible information. Therefore, preserving news on the Web with reliable information is imperative. The Multivocal Literature Review protocol was designed to address the issue of credibility in news stories in this study. During the protocol design, the researchers found no guidelines for the quality assessment of grey literature. Grey literature refers to literature that is not commercially published, such as reports, conference proceedings, and theses. Therefore, the researchers designed guidelines for the quality assessment of grey literature, named it SADACO, which was one of the major objectives of this research. The future direction of this study is to implement the protocol and retrieve all possible credibility factors from the mentioned sources. These credibility factors will then be validated by experts through a questionnaire survey. In the last step, the researchers will prioritize the credibility factors through a Multi-Criteria Decision Making Algorithm. This approach will ensure that only the most critical factors influencing the credibility of digital news stories are considered. The importance of credible news sources cannot be overstated, especially in today's world, where fake news and misinformation are rampant. The role of credible news sources is to inform the public, hold leaders accountable, and promote democratic values. Therefore, any study aimed at improving the credibility of digital news sources should be encouraged and supported. The systematic evaluation of news articles will also help to build trust between news organizations and their readers, further strengthening the credibility of news sources. In conclusion, the credibility of news information is of utmost importance, and systematic criteria for evaluation must be established to ensure its reliability. This research aims to identify the factors that influence the credibility of digital news stories and prioritize them using a Multi-Criteria Decision Making Algorithm. The implementation of the study's findings will help preserve news on the Web with reliable information, making it easier for readers to distinguish between credible and unreliable news sources.