The purpose of this model is to provide an indication of whether a given text in Bulgarian potentially contains untrue information. It outputs a probability label for the class "0" (contains TRUE information) and for the class "1" (contains UNTRUE information). It can be combined with models, recognizing automatically generated texts, in order to identify textual deepfakes. The model has been trained on Bulgarian social media messages, each manually labeled by three Bulgarian journalists of containing untrue information or not. It uses a tfidf vectorizer, also supplied. The model achieves these values: Accuracy: 0.933920704845815 Precision: 0.9324324324324325 Recall: 1.0 F1-score: 0.965034965034965

This model was created within the TRACES project (https://traces.gate-ai.eu/), which has indirectly received funding from the European Union's Horizon 2020 research and innovation action programme, via the AI4Media Open Call #1 issued and executed under the AI4Media project (Grant Agreement no. 951911).