Manipulative Style Recognition of Czech News Texts using
Stylometric Text Analysis

D 2022

Manipulative Style Recognition of Czech News Texts using Stylometric Text Analysis

SABOL, Radoslav a Aleš HORÁK

Základní údaje

Originální název

Manipulative Style Recognition of Czech News Texts using Stylometric Text Analysis

Autoři

SABOL, Radoslav (703 Slovensko, garant, domácí) a Aleš HORÁK (203 Česká republika, domácí)

Vydání

Brno, Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022, od s. 189-197, 9 s. 2022

Nakladatel

Tribun EU

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

Domovská stránka workshopu Plný text

Kód RIV

RIV/00216224:14330/22:00127486

Organizační jednotka

Fakulta informatiky

ISBN

978-80-263-1752-4

ISSN

Klíčová slova anglicky

stylometry; propaganda detection; manipulative style analysis; Propaganda dataset; Czech

Změněno: 15. 5. 2024 09:53, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

LM2018101, projekt VaV

Název: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy (Akronym: LINDAT/CLARIAH-CZ)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, LINDAT/CLARIAH-CZ - Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy

Citovat

SABOL, Radoslav a Aleš HORÁK. Manipulative Style Recognition of Czech News Texts using Stylometric Text Analysis. In Aleš Horák, Pavel Rychlý, Adam Rambousek. 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.

@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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