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@inproceedings{2240156,
author = {Sabol, Radoslav and Horák, Aleš},
address = {Brno},
booktitle = {Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022},
editor = {Aleš Horák, Pavel Rychlý, Adam Rambousek},
keywords = {stylometry; propaganda detection; manipulative style analysis; Propaganda dataset; Czech},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-1752-4},
pages = {189-197},
publisher = {Tribun EU},
title = {Manipulative Style Recognition of Czech News Texts using Stylometric Text Analysis},
url = {https://raslan2022.nlp-consulting.net/},
year = {2022}
}
TY - JOUR
ID - 2240156
AU - Sabol, Radoslav - Horák, Aleš
PY - 2022
TI - Manipulative Style Recognition of Czech News Texts using Stylometric Text Analysis
PB - Tribun EU
CY - Brno
SN - 9788026317524
KW - stylometry
KW - propaganda detection
KW - manipulative style analysis
KW - Propaganda dataset
KW - Czech
UR - https://raslan2022.nlp-consulting.net/
N2 - 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.
ER -
SABOL, Radoslav a Aleš HORÁK. Manipulative Style Recognition of Czech News Texts using Stylometric Text Analysis. In Aleš Horák, Pavel Rychlý, Adam Rambousek. \textit{Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022}. Brno: Tribun EU, 2022, s.~189-197. ISBN~978-80-263-1752-4.
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