While people around the world use Wikipedia as their go-to source of information, there’s usually no way to check if the platform’s content is correct. Meta aims to solve this problem with new AI software that checks Wikipedia pages.
Meta’s AI uses so-called Natural Language Understanding (NLU) techniques to validate Wikipedia citations.
“Automated tools can help identify gibberish or statements that lack citations, but helping human editors determine whether a source actually confirms a claim is a much more complex task – one that requires the depth of understanding and analysis of ‘an AI system,’ Meta shared in a blog post announcing AI.
With more than 17,000 new articles added to Wikipedia each month, it is almost impossible to have a human verify each individual source, with some articles citing dozens of different places. Instead, Meta’s AI will compare citations to the 134 million web pages on Sphere, an open-source online library.
To train the AI, Meta says she “nurtured [the] algorithms 4 million Wikipedia claims, teaching them to focus on a single source from a vast pool of web pages to validate each claim. The model then evaluates the text in chunks and considers the most relevant passage to determine whether to recommend a Wikipedia article.
The project is still currently in the research phase and is not yet used to update Wikipedia articles.
In other tech news, Twitter employees have reportedly been warned against tweeting or discussing the Elon Musk deal.