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 and Aleš HORÁK

Basic information

Original name

Manipulative Style Recognition of Czech News Texts using Stylometric Text Analysis

Authors

SABOL, Radoslav (703 Slovakia, guarantor, belonging to the institution) and Aleš HORÁK (203 Czech Republic, belonging to the institution)

Edition

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

Publisher

Tribun EU

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

Domovská stránka workshopu Plný text

RIV identification code

RIV/00216224:14330/22:00127486

Organization unit

Faculty of Informatics

ISBN

978-80-263-1752-4

ISSN

Keywords in English

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

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

Abstract

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.

Links

LM2018101, research and development project

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

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

SABOL, Radoslav and 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, p. 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 and 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, p.~189-197. ISBN~978-80-263-1752-4.

Detailed Information on Publication Record