fakes

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.

Gonzo Media Texts in the Information Space of Ukraine

The article offers various definitions of 'Ukraine’s information space' and highlights its crucial role in national security, particularly in safeguarding the information and psychological well-being of individuals, society, and the state. It delves into the socio-informational nature of gonzo journalism, a novel form of mass media, and examines how it operates within Ukraine’s information landscape. The piece underscores the interconnectedness of gonzo journalism and the information space amid intense anti-Ukrainian information warfare and the ongoing Russian-Ukrainian conflict.