DOI: https://doi.org/10.30837/IVcsitic2020201364

Prospects of information systems for detecting the propaganda texts

Yaroslav Tarasenko

Анотація


The work is devoted to searching the promising directions of developing the information systems for detecting the propaganda texts in order to increase the reliability of their functioning in the context of information confrontation and to ensure national security. As a result of researching the existing models and information systems for detecting the signs of psycholinguistic influence and propaganda, a promising direction of their development was found, which consists in applying the texts' automated classification. Based on the comparative analysis of information systems for morphological analysis in text categorization with the system for defining the morphological-syntactic and semantic category of the propagandist's psycholinguistic portrait, the perspective ways of developing the information systems for detecting the propaganda texts are determined.

Повний текст:

PDF

Посилання


Маlyk Ya. Information war and Ukraine / Ya. Маlyk // Academic papers collection «Democratic governance», 2015. – Issue 15. URL: http://www.lvivacademy.com/vidavnitstvo_1/visnyk15/fail/Malyk.pdf

Makarenko S.I. Information confrontation and electronic warfare in network-centric wars at the beginning of the XXI century / S.I. Makarenko: monograph. – St. Petersburg: High technology, 2017. – 546 p.

Goncharov I.V. Modeling the processes of information-psychological impact in social networks / I.V. Goncharov, P.A. Parinov, A.A. Sirota // Proceedings of Voronezh State University. Series: Systems analysis and information technologies, 2018. – № 2. – P. 93-104.

Java S. Detection of Online Manipulation to Prevent Users Victimization / S. Java, F.L. Basheer, S. Riaz, M.J. Kaur, A. Mushtaq // Proceedings of Amity International Conference on Artificial Intelligence, Dubai, UAE, February 4-6, 2019. – P. 593-599.

Aggarwal K. NSIT@NLP4IF-2019: Propaganda Detection from News Articles usingTransfer Learning / K. Aggarwal, A. Sadana // Proceedings of the 2nd Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda, Hong Kong, China, November 4, 2019. – P. 143–147.

Orlov M. Using Behavior and Text Analysisto Detect Propagandistsand Misinformers on Twitter / M. Orlov, M. Litvak // Proceedings of the 5th International Conference «Information Management and Big Data», Lima, Peru, September 3-5, 2018. – P. 67-74.

Batura T.V. Automatic text classification methods / T.V. Batura // Software and Systems, 2017. – Vol. 30, № 1. – P. 85-99.

Tarasenko Ya. Determining the coordinates of semantic particle in english text with a known psycholinguist portrait of propagandist / Ya. Tarasenko // Ukrainian Information Security Research Journal, 2019. – № 21 (3). – P. 168-174.


Посилання

  • Поки немає зовнішніх посилань.