Manipulative Style Recognition of Czech News Texts using Stylometric Text Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00127486" target="_blank" >RIV/00216224:14330/22:00127486 - isvavai.cz</a>
Result on the web
<a href="https://nlp.fi.muni.cz/raslan/2022/paper19.pdf" target="_blank" >https://nlp.fi.muni.cz/raslan/2022/paper19.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Manipulative Style Recognition of Czech News Texts using Stylometric Text Analysis
Original language 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/LM2018101" target="_blank" >LM2018101: Digital Research Infrastructure for the Language Technologies, Arts and Humanities</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022
ISBN
9788026317524
ISSN
2336-4289
e-ISSN
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Number of pages
9
Pages from-to
189-197
Publisher name
Tribun EU
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2022
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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