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@inproceedings{1552518,
author = {Horák, Aleš and Baisa, Vít and Herman, Ondřej},
address = {Varna, Bulgaria},
booktitle = {Proceedings of Recent Advances in Natural Language Processing, RANLP 2019},
doi = {http://dx.doi.org/10.26615/978-954-452-056-4_010},
keywords = {propaganda detection; manipulative techniques; benchmark dataset},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Varna, Bulgaria},
isbn = {978-954-452-055-7},
pages = {77-83},
publisher = {INCOMA Ltd.},
title = {Benchmark Dataset for Propaganda Detection in Czech Newspaper Texts},
url = {https://www.aclweb.org/anthology/R19-1010.pdf},
year = {2019}
}
TY - JOUR
ID - 1552518
AU - Horák, Aleš - Baisa, Vít - Herman, Ondřej
PY - 2019
TI - Benchmark Dataset for Propaganda Detection in Czech Newspaper Texts
PB - INCOMA Ltd.
CY - Varna, Bulgaria
SN - 9789544520557
KW - propaganda detection
KW - manipulative techniques
KW - benchmark dataset
UR - https://www.aclweb.org/anthology/R19-1010.pdf
L2 - https://www.aclweb.org/anthology/R19-1010.pdf
N2 - Propaganda of various pressure groups ranging from big economies to ideological blocks is often presented in a form of objective newspaper texts. However, the real objectivity is here shaded with the support of imbalanced views and distorted attitudes by means of various manipulative stylistic techniques. In the project of Manipulative Propaganda Techniques in the Age of Internet, a new resource for automatic analysis of stylistic mechanisms for influencing the readers’ opinion is developed. In its current version, the resource consists of 7,494 newspaper articles from four selected Czech digital news servers annotated for the presence of specific manipulative techniques. In this paper, we present the current state of the annotations and describe the structure of the dataset in detail. We also offer an evaluation of bag-of-words classification algorithms for the annotated manipulative techniques.
ER -
HORÁK, Aleš, Vít BAISA and Ondřej HERMAN. Benchmark Dataset for Propaganda Detection in Czech Newspaper Texts. In \textit{Proceedings of Recent Advances in Natural Language Processing, RANLP 2019}. Varna, Bulgaria: INCOMA Ltd., 2019, p.~77-83. ISBN~978-954-452-055-7. Available from: https://dx.doi.org/10.26615/978-954-452-056-4\_{}010.
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