Malicdem, Alvin R.Rimando, Chrystal Mhaye G.Cruz, Michael Ryan S.Flores, Elmer E., Jr.Mendoza, Hazel F.2026-03-132026-03-132024-12Rimando, C. M. G., Cruz, M. R. S., Flores, E. E. Jr., & Mendoza, H. F (2024) [Unpublished Undergraduate Feasibility Study]. Don Mariano Marcos Memorial State University – Mid La Union Campus. Lakasa ti Sirib, DMMMMSU Institutional Repository.https://lakasa.dmmmsu.edu.ph/handle/123456789/1195The rise of disinformation made it harder to trust what isseen online, especially in the news. To address this, MariteScanner was developed as a web-based tool designed to help users determine whether an online news article is credible. The system used technologies like the Facebook Graph API and advanced algorithms to cross-check informationwith trusted sources, analyzedmetadata, and identified patternsthatsuggested whether the content was reliable or misleading. The CRISP-DM framework guided the processfrom data collection and cleaning to system testing. The final product was an easyto-use platform that provided clear results, such as credibility scores, classifications, and supporting evidence. During testing, the System Usability Scale (SUS) was used, and the tool earned a score of 82.29, indicating it was user-friendly and met expectations.enThesis