Informatics and Applications
2014, Volume 8, Issue 4, pp 70-77
FALSE TEXTS: CLASSIFICATION AND METHODS OF IDENTIFICATION OF TEXT DOCUMENTS WITH IMITATIONS AND SUBSTITUTION OF AUTHORSHIP
- M. Yu. Mikheev
- N. V. Somin
- I. V. Galina
- O. V. Zolotaryev
- E. B. Kozerenko
- Yu. I. Morozova
- M. M. Charnine
Abstract
Modern textual space, including the Internet, is enormous and is constantly updated with new texts.
All text documents can be divided into two large groups: "good texts" and that might be called "false texts." So far, the industry of false texts flow production has become so massive that there is an urgent need to study this phenomenon and to develop effective methods of detection of such text documents. The purpose of the paper is to give an adequate description of the concept of false text as information and linguistic phenomenon and suggest some approaches to the identification of such texts.
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[+] About this article
Title
FALSE TEXTS: CLASSIFICATION AND METHODS OF IDENTIFICATION OF TEXT DOCUMENTS WITH IMITATIONS AND SUBSTITUTION OF AUTHORSHIP
Journal
Informatics and Applications
2014, Volume 8, Issue 4, pp 70-77
Cover Date
2014-10-30
DOI
10.14357/19922264140409
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
text generation; natural language processing; statistical analysis of language objects; plagiarism; typology of false texts
Authors
M. Yu. Mikheev  ,  ,
N. V. Somin , I. V. Galina ,
O. V. Zolotaryev  , E. B. Kozerenko ,
Yu. I. Morozova ,
and M. M. Charnine
Author Affiliations
Research Computer Center, M.V. Lomonosov Moscow State Uviversity (MGU NIVC), 1-52 Leninskiye Gory, GSP-1, Moscow 119991, Russian Federation
Institute of Informatics Problems, Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Russian New University, 22 Radio Str., Moscow 105005, Russian Federation
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