Detecting the Unmasking Features of a Social Bot at the Syntax Level of a Generated Message

Loginova, A. .; Aleynikova, D. V.

doi:10.17308/sait/1995-5499/2023/1/139-147

Вестник ВГУ. Серия: Системный анализ и информационные технологи

2023

DOI: 10.17308/sait/1995-5499/2023/1/139-147

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Detecting the Unmasking Features of a Social Bot at the Syntax Level of a Generated Message

A. . Loginova

D. V. Aleynikova

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Software tools for creating and analyzing a text data bank of short electronic messages from social network users

Loginova,

Gorozhanov,

Aleynikova

2023

Philology. Theory & Practice

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The research aims at developing an algorithm for creating and analyzing a text data bank of short electronic messages (posts) from social networks using free software tools. The scientific novelty lies in the fact that to solve such a problem, an interdisciplinary approach is used, taking into account the latest achievements of applied and mathematical linguistics and information security, with the involvement of the current regulatory framework. In the course of the work, according to the proposed graphical model, textual research material of ca. 1.5 MB was collected using the Web Scraper plug-in; a text data bank of short electronic messages was generated, converted into a CSV format suitable for further processing; a basic analysis of this data bank was carried out using PolyAnalyst free software package, which included such procedures as the extraction of terms, entities and keywords, sentiment analysis and determination of the subject matter of texts. As a result, the functionality of the created algorithm was proven, prospects for further research were identified – working with big text data and analyzing this data to find destructive content in them.

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Software tools for creating and analyzing a text data bank of short electronic messages from social network users

Loginova,

Gorozhanov,

Aleynikova

2023

Philology. Theory & Practice

View full text Add to dashboard Cite

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The Descriptive Model of Social Bot on the Base of American Political Discourse

Loginova

2024

jour

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The purpose of this study is to create a descriptive model of a social bot that takes into account its potential as a violator of information and psychological security. The study was made on the base of American political discourse. The model is based on the results of a comprehensive analysis of the unmarked text corpus of social bot posts on Twitter. The corpus of texts is a collection of texts of posts in English of social network accounts that were previously identified by researchers as social bot accounts involved in the president election campaign. The study is motivated by the lack of an exhaustive definition of the concept of "social bot". This bot model forms a new approach to the disclosure of the essence of this concept. In this article, a social bot is considered as a violator of the information and psychological security of the user of the Internet mass media. The article was funded by the Ministry of Digital Development of the Russian Federation according to the research project No. № 14/23-К.

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Detecting the Unmasking Features of a Social Bot at the Syntax Level of a Generated Message

Cited by 2 publications

References 0 publications

Software tools for creating and analyzing a text data bank of short electronic messages from social network users

Software tools for creating and analyzing a text data bank of short electronic messages from social network users

The Descriptive Model of Social Bot on the Base of American Political Discourse

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