When it came out that a US teen had written thousands of entries in a language they didn't speak, the community of encyclopedias was in uproar. The online encyclopedia is not a good source of information. Often factual errors come from someone who made a mistake, but sometimes people will attempt to edit out malice.
The Wikimedia Foundation collaborated with Meta to address that problem. The two wanted to be cited. There are too many footnotes for the platform's volunteers to check. Many citations are incomplete, missing or just plain inaccurate as the website grows.
An artificial intelligence model was developed by Meta to verify citations. When it finds a poorlysourced passage, it can suggest alternatives. Common sense and experience are what human editors look for when evaluating citations. A Natural Language Understanding model is used by an artificial intelligence when it does the same work. Meta's Sphere database contains more than 134 million web pages and is the system's knowledge index. The model is designed to find a single source to verify every claim.
Meta shared an example of an incomplete citation on the page for the Blackfoot Confederacy. Joe Hipp was the first Native American to compete for a world title. Hipp and boxing aren't mentioned on the website. The model was able to find a citation in the Great Falls Tribune. The model flagged this passage.
In 1989 at the twilight of his career, [Marvin] Camel fought Joe Hipp of the Blackfeet Nation. Hipp, who became the first Native American to challenge for the world heavyweight championship, said the fight was one of the weirdest of his career.
The above passage doesn't mention boxing. Thanks to its natural language capabilities, Meta's model was able to find a reference. One day, the tool could help with misinformation on Facebook. The model's creators hope that their work can be used to increase the trustworthiness of information online. Meta hopes to build a platform for the verification and correct of footnotes.
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