The researchers explained that as the number of articles on Wikipedia grows, many false or
*Meta, including its Facebook and Instagram products, has been designated an extremist organization in Russia.
AI uses Natural transformation modelLanguage Understanding (NLU), which attempts to understand the relationships between words and phrases in a sentence. The knowledge index of the model is the Sphere database, which contains more than 134 million web pages. In addition, the model is designed to find a single source to verify each claim.
In 2020, Wikimedia began developing an algorithmafter a scandal in which a US teenager wrote 27,999 entries in a language he did not speak. A similar story happened in 2022 - a resident of China created 206 articles about the history of Russia, inventing military and economic events, weaving them into real facts.
Meta has already begun to develop the basis fornext generation citation tools. In 2021, the company released an AI model that combined search and verification of information. Neural networks are also being trained in more complex subtleties of the language to search for relevant source material on the Internet.
Once they are ready, the AI models will improve the quality of knowledge on Wikipedia. This will keep the accuracy of the resource used by many people around the world.
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