SABOL, Radoslav and Aleš HORÁK. Augmenting Stylometric Features to Improve Detection of Propaganda and Manipulation. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of the Seventeenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2023. Brno: Tribun EU, 2023, p. 67-77. ISBN 978-80-263-1793-7.
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Basic 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
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW Domovská stránka workshopu Plný text
RIV identification code RIV/00216224:14330/23:00133091
Organization unit Faculty of Informatics
ISBN 978-80-263-1793-7
ISSN 2336-4289
Keywords in English stylometry; propaganda detection; manipulative style analysis; Propaganda dataset; Czech
Tags Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 7/4/2024 23:40.
Abstract
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
LM2018101, research and development projectName: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy (Acronym: LINDAT/CLARIAH-CZ)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/1339/2022, interní kód MUName: Rozvoj technik pro zpracování dat pro podporu vyhledávání, analýz a vizualizací rozsáhlých datových souborů s využitím umělé inteligence
Investor: Masaryk University, Development of data processing techniques to support search, analysis and visualization of large datasets using artificial intelligence
PrintDisplayed: 28/7/2024 02:19