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Automatic Fact-Checking in Russian-Language Political Resources

Student: Gorbunov Fedor

Supervisor: Dmitry Ilvovsky

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

Educational Programme: Applied Mathematics (Bachelor)

Year of Graduation: 2021

After the 2016 US elections, the amount of misinformation in the media is rapidly increasing. Politicians in many countries use deliberate misleading people to their advantage. Some - to lower the rating of opponents, others - to increase their own. Restricting freedom of the media, spreading false information through state sources have become mandatory attributes of modern autocracies. Checking information in the media is mandatory, people from the media are engaged in this, but this process can be partially automated. The main goal of the work is to build an algorithm for classifying text information to determine its reliability. During the execution of the work, the following stages were implemented: algorithms for finding relevant documents and sentences within documents, models for determining the reliability of text information.

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