Augmenting Stylometric Features to Improve Detection of Propaganda and Manipulation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00133091" target="_blank" >RIV/00216224:14330/23:00133091 - isvavai.cz</a>
Result on the web
<a href="https://raslan2023.nlp-consulting.net/" target="_blank" >https://raslan2023.nlp-consulting.net/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Augmenting Stylometric Features to Improve Detection of Propaganda and Manipulation
Original language description
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.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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
2023
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 Seventeenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2023
ISBN
9788026317937
ISSN
2336-4289
e-ISSN
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Number of pages
11
Pages from-to
67-77
Publisher name
Tribun EU
Place of publication
Brno
Event location
Kouty nad Desnou
Event date
Dec 8, 2023
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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