Detailed Information on Publication Record
2019
Benchmark Dataset for Propaganda Detection in Czech Newspaper Texts
HORÁK, Aleš, Vít BAISA and Ondřej HERMANBasic information
Original name
Benchmark Dataset for Propaganda Detection in Czech Newspaper Texts
Authors
HORÁK, Aleš (203 Czech Republic, guarantor, belonging to the institution), Vít BAISA (203 Czech Republic, belonging to the institution) and Ondřej HERMAN (203 Czech Republic, belonging to the institution)
Edition
Varna, Bulgaria, Proceedings of Recent Advances in Natural Language Processing, RANLP 2019, p. 77-83, 7 pp. 2019
Publisher
INCOMA Ltd.
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Bulgaria
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
RIV identification code
RIV/00216224:14330/19:00110579
Organization unit
Faculty of Informatics
ISBN
978-954-452-055-7
ISSN
Keywords in English
propaganda detection; manipulative techniques; benchmark dataset
Tags
International impact, Reviewed
Změněno: 3/5/2020 12:49, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
Propaganda of various pressure groups ranging from big economies to ideological blocks is often presented in a form of objective newspaper texts. However, the real objectivity is here shaded with the support of imbalanced views and distorted attitudes by means of various manipulative stylistic techniques. In the project of Manipulative Propaganda Techniques in the Age of Internet, a new resource for automatic analysis of stylistic mechanisms for influencing the readers’ opinion is developed. In its current version, the resource consists of 7,494 newspaper articles from four selected Czech digital news servers annotated for the presence of specific manipulative techniques. In this paper, we present the current state of the annotations and describe the structure of the dataset in detail. We also offer an evaluation of bag-of-words classification algorithms for the annotated manipulative techniques.
Links
MUNI/A/1018/2018, interní kód MU |
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MUNI/G/0872/2016, interní kód MU |
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