Publication details

Manipulative Style Recognition of Czech News Texts using Stylometric Text Analysis


SABOL Radoslav HORÁK Aleš

Year of publication 2022
Type Article in Proceedings
Conference Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022
MU Faculty or unit

Faculty of Informatics

Keywords stylometry; propaganda detection; manipulative style analysis; Propaganda dataset; Czech
Description The rampant spread of manipulative texts purporting propaganda, disinformation or surveillance, requires the readers to take heed of the actual reasoning behind and the real purpose of the newspaper texts. The capability to recognize a malignant content asks for more and more concentration and background knowledge. A support offered by automated content analysis tools forms an important part of such protective approaches. In the presented text, we introduce a new approach to detecting a set of manipulative stylistic techniques in Czech newspaper texts by exploiting stylometric methods in conjunction with deep learning text classification. We show that the stylometric analysis with almost 20,000 features allows to improve the results for most of the techniques. The results are evaluated with a previously published Czech Propaganda dataset.
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