Abstract
This scientific article analyzes and characterizes various types of false
information disseminated in modern information systems. The main focus is on detecting
and identifying the dangers associated with the spread of unreliable information in
society. The serious consequences of this phenomenon can reach a global scale, making
effective countermeasures critically important. The study examines and compares various
software methods to counter the dissemination of false information. In particular,
different methods of analyzing and filtering information aimed at detecting and
localizing unreliable messages were studied and compared. This helps identify the most
effective approaches to data analysis in the field of information systems and determine
optimal methods to combat the spread of fake news. The conclusions of this research have
practical applications and can be used to improve the analysis of information from
various sources in information systems. The implementation of the solutions developed in
this research will contribute to increasing the level of credibility and objectivity in
information processing, thereby enhancing the quality of information analysis and its
utilization in various sectors of society.
Publisher
Lviv Polytechnic National University