Detailed Information on Publication Record
2023
Augmenting Stylometric Features to Improve Detection of Propaganda and Manipulation
SABOL, Radoslav and Aleš HORÁKBasic information
Original name
Augmenting Stylometric Features to Improve Detection of Propaganda and Manipulation
Authors
SABOL, Radoslav (703 Slovakia, belonging to the institution) and Aleš HORÁK (203 Czech Republic, guarantor, belonging to the institution)
Edition
Brno, Proceedings of the Seventeenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2023, p. 67-77, 11 pp. 2023
Publisher
Tribun EU
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
RIV identification code
RIV/00216224:14330/23:00133091
Organization unit
Faculty of Informatics
ISBN
978-80-263-1793-7
ISSN
Keywords in English
stylometry; propaganda detection; manipulative style analysis; Propaganda dataset; Czech
Tags
Reviewed
Změněno: 15/8/2024 09:31, doc. RNDr. Aleš Horák, Ph.D.
Abstract
V originále
Identification of manipulative techniques in newspaper texts allows an informed reader to cope with the text content without being negatively influenced. In this paper, we present new developments in using stylometry to support a deep learning neural network model in labelling newspaper articles for the presence of specific manipulative techniques. We also evaluate all stylometric features in 16 groups and improve the manipulation detection results in 15 of 17 techniques.
Links
| LM2023062, research and development project |
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| MUNI/A/1339/2022, interní kód MU |
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