This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The dataset contains 8791 anonymized Telegram social media posts, written in Bulgarian. The dataset is annotated with general information (named entities, part-of-speech tags, sentence length, etc.) and specific markers signaling details and can be used for general purposes or for building lies, manipulation, and disinformation detection applications. Note: this dataset is not fact-checked, the social media messages have been retrieved via keywords. For fact-checked datasets, see our other datasets. The social media posts have been collected via Telegram Desktop in June-July 2022. Explanations of which fields can be used as markers of lies (or of intentional disinformation) are provided in our forthcoming paper: Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Nikolaeva (2023) New Bulgarian Resources for Detecting Disinformation. 10th Language and Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC'23). Poznań. Poland.

The project TRACES 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). This dataset is shared with the License: Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0). We forbid the use of these texts for: user profiling The Project Sponsors (European Commission and the AI4Media project), Researchers, users or subjects shall not be liable or otherwise responsible for any damages (including pecuniary or moral damages) arising out or in relation to the uses of this resource. When using this resource, please cite this article: Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Nikolaeva (2023) New Bulgarian Resources for Detecting Disinformation. 10th Language and Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC'23). Poznań. Poland.