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For Meta, Fixing Wikipedia’s Faulty Quotes Will Require The Application Of Artificial Intelligence (AI).

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One of the most visited websites on the internet, Wikipedia, can get some valuable assistance from Meta, which recommends using a new artificial intelligence tool, Sphere, to rectify errors in the virtual dictionary. Mistakes committed by good-hearted people as well as blatantly malicious modifications have become folklore in the past few years.

It is Sphere’s goal to guide platforms that rely on verification against fake news by using a database of more than 134 million items from the web. Rather than relying on traditional search engines like Google, this AI relies on the limitless pool of information available on the open web.

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It’s unclear how Meta intends to fix Wikipedia.

In reality, Meta is not working with Wikipedia in any way, shape, or form. The multilingual encyclopaedia of collaborative writing does not use the Sphere project at this time. The Menlo Park behemoth, on the other hand, views WikiProject as an ideal testing ground for their massively multithreaded editing tool.

In order to keep up with the site’s 17,000 articles a month, Meta built an AI model that promises to automatically scan citations at scale to check their accuracy. When a passage has few sources, the programme even proposes alternate citations.

When evaluating Wikipedia citations, its editors entirely rely on their own common sense and experience, so that should give you a good picture of what this means. Sphere, on the other hand, uses an AI transformation model called “natural language understanding” (NLU), which mimics human thought processes. The goal is to validate each claim with a single source.

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