Fake news and disinformation recognition has become a very important and simultaneously hot problem in our current life. This problem touches different countries and in consequence different national languages and started to be a complex issue, both in technical, social and economic aspects. Integration of advanced natural language processing (NLP) techniques with efficient data structures allows the creation of systems capable of accurately detecting fake news in real time. The paper presents the design and development framework of data structures and storage methods that facilitate the accurate identification of fake news in Polish language. According to the literature review, datasets dedicated to detecting the fake news written in Polish have not been created. The proposed solution is based on relational database concept and involves the storage of real and fake news written in Polish. Each news item is associated with a corresponding claim verified by professional fact checking platforms as true or fake. The demonstrated framework includes the gathering of texts written in Polish, and therefore embedded in the social, cultural and legal context of the Polish language.