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Information × Registration Number 0124U004513, R & D request Title Determining the trustworthiness of public information on social media using linguistic-based text analytics approach Head Khairova Nina F., Доктор технічних наук Registration Date 25-10-2024 Organization National Technical University "Kharkiv Polytechnic Institute" popup.description1 The aim of this project is to develop a robust methodology for evaluating the reliability of publicly disseminated information within online communities. The proposed approach leverages advanced machine learning techniques for comprehensive text analysis, aiming to provide recommendations for adapting this methodology to the analysis of social network informational contexts. A key aspect of the project involves implementing a logical-linguistic model for detecting information from open-domain sources. This model will identify event participants, event-related arguments, and their respective roles, as they appear in both reliable and unreliable sections of a curated corpus, focusing on selected domains in Ukrainian and Polish. Additionally, the project will undertake the semantic annotation of events in a multilingual corpus, establishing an event schema. Metrics for assessing the reliability of information—categorized as reliable, false, or partially false—along with criteria for identifying the nature of unreliability, will also be developed. popup.nrat_date 2024-12-09 Close
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Head: Khairova Nina F.. Determining the trustworthiness of public information on social media using linguistic-based text analytics approach. National Technical University "Kharkiv Polytechnic Institute". № 0124U004513
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Updated: 2026-03-24