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Verification of Facts and Information Based on Knowledge Bases of Records of Text Published on Social Networks

Student: Farfan khunko Maria

Supervisor: Dmitry Ilvovsky

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Applied Mathematics (Bachelor)

Final Grade: 8

Year of Graduation: 2021

In the modern world, social networks play an important role in human life. Millions of people read the news, feature articles or publications every day. Due to the huge number of users in the social space, it has become quite convenient and fast to spread false facts or information. Spreading misinformation may lead to public unrest, therefore automatic verification in the social webspace is incredibly relevant. The main purpose of this work is to build a model that allows you to determine its reliability based on textual facts or information. In the course of the work, the following components were implemented: extracting the necessary information from the knowledge bases for the verified statements and determining the semantic proximity between them. The resulting model was tested on data from social networks.

Full text (added May 31, 2021)

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