disinformation

Method for Detecting Sources of Disinformation and Inauthentical Behavior of Chat Users

A method for detecting sources of disinformation and inauthentic behavior of chat users in social networks has been developed. The developed model is based on the analysis of text information using modern machine learning algorithms, in particular classifiers (SVM, Naive Bayes, decision trees, etc.) and clustering methods to identify structural relationships between news and users. Considerable attention is paid to the collection and balancing of datasets, as well as the visualization of networks to assess the spread of fake news.

Method for Detection of Disinformation Based on Text Data Analysis Using TF-IDF and Contextual Vector Representations

The article considers an approach to detecting fake news in the digital environment through text analysis using machine learning and natural language processing methods. The proposed method is based on a hybrid text representation combining frequency features (TF-IDF) and contextual embeddings obtained using the IBM Granite model. A complete data processing cycle was developed, covering the stages of exploratory analysis (EDA), text preprocessing and tokenization, forming vector representations, training a logistic regression model, and obtaining key metrics.

Electoral Rights in Modern Digital Transformation Processes: Counteraction to Manipulation, Disinformation and Protection of Private Information

The article is devoted to a comprehensive analysis of the manifestation of electoral rights and their modification through digital transformation processes through the analysis of the problems of legal regulation of such aspects as disinformation, manipulation, personal information about the voter. Considerable attention is paid to the role of artificial intelligence in the electoral process, its positive and destructive capabilities are identified.

The Image of Poles in Ukrainian Mediaspace During the War

This article explores the image of Poles in the Ukrainian mediaspace during the Russo-Ukrainian war, focusing on the period from 2022 to 2024. Using qualitative content analysis of Ukrainian regional media, the study examines how Polish-Ukrainian relations have been framed in the context of war, humanitarian aid, historical narratives, and geopolitical alliances. The research identifies dominant themes in media discourse, including Poland’s role as a key ally in Ukraine’s resistance, a provider of refuge and humanitarian support, and a long-standing historical partner.

Ensuring Human Rights in the Context of Digital Technologies During an Armed Conflict

In the context of the full-scale armed conflict caused by the russian federation's aggression against Ukraine, digital technologies have become an integral part of both hostilities and the daily lives of the civilian population. This poses unprecedented challenges for ensuring and protecting human rights. The article analyzes the key issues arising at the intersection of digital technologies, human rights, and armed conflict in the Ukrainian context.

Intelligent Fake News Prediction System Based on NLP and Machine Learning Technologies

The article describes a study of identification of fake news based on natural language processing, big data analysis and deep learning technology. The developed system automatically checks the news for signs of fake news, such as the use of manipulative language, unverified sources and unreliable information. Data visualization is implemented on the basis of a friendly user interface that displays the results of news analysis in a convenient and understandable format.

Features of organizational and legal provision of information security in the conditions of war with russia

The article, based on a theoretical and practical study of the essence and features of the regulation of information and legal relations in the conditions of russian aggression, focuses on the problematic issues of organizational and legal provision of information security as an activity aimed at the prevention, timely detection and termination of threats that destructively affect vital interests of the individual, society and the state in the information sphere.

Legal aspects of fighting disinformation in the European Union: lessons for Ukraine

Аnnotation. The article "Legal aspects of combating disinformation in the European Union: lessons for Ukraine" describes and analyzes in detail the problem associated with a large amount of false, manipulative and extremely harmful information that every modern person has to face. Special attention is paid to the legislative regulation of the information sphere, measures aimed at improving information security in the European Union and Ukraine.

MEDIA MYSTIFICATION IN THE CONTENT OF ALL-UKRAINIAN TV CHANNELS: THE UKRAINIAN EXPERIENCE

The article analyzes the Ukrainian experience of using media mystification in the content of all-Ukrainian TV channels. An actual problem is the use of the genre of hoax in the content of all-Ukrainian TV channels, with the help of which journalists demonstrate fake news or fabricated programs on television as real in the country and abroad. The scientific approaches of scientists to the definition of the concept of "media mystification" are analyzed.