TRACES Python Scripts for Downloading from Twitter, Cleaning, and Annotating with the Linguistic Markers of Deceptions New (Bulgarian) Text Datasets

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).

These scripts are shared with the License: Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0).

We forbid the use of these scripts for:

• user profiling
• governmental or public authority purposes, including for investigations, intelligence work, criminal investigation, court or administrative proceedings

• no legal action should be taken against the authors of texts, whose texts are identified by the scripts as potentially containing untrue information, intentional disinformation or as potentially representing automatically generated texts, solely based on the results of this these scripts

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.