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Home » Google Uses AI To Reduce False Information In ‘Featured Snippets’

Google Uses AI To Reduce False Information In ‘Featured Snippets’

August 12, 2022 by Elen Page Leave a Comment

featured Snippets

Google’s latest Search update tries to stop the spread of misinformation through highlighted featured Snippets.

Previously, an algorithm collected quoted language from websites that addressed users’ questions; offering photographs and a link to the source. Google is using its MUM AI to better grasp “the notion of consensus”; or when several high-quality web resources agree on the same content.
MUM checks snippet callouts (the bold word(s) above the featured text) against significant sites for general agreement; even if sources use different terms or concepts to describe the same item. This consensus-based technique has boosted featured snippet callouts; the business stated.

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AI algorithms help Google realise when featured snippets aren’t beneficial; especially when there’s no solution. When did Snoopy kill Abraham Lincoln? The site includes factual Wikipedia information regarding where; when, and how the president was killed, but it “clearly isn’t the most helpful way to display this result.” Nayak said.

Google’s latest update reduced highlighted snippet false triggers by 40%.
Google Search is expanding “About this result”; which provides details about a link (e.g., a Wikipedia description) before you access it. Users may now find internet reviews, who owns the source, and how frequently it’s shared. The functionality is coming to eight additional languages (Portuguese, French, Italian, German, Dutch, Spanish, Japanese, and Indonesian).

“People turn to Google every day for information in the moments that matter most,” adds Nayak. We want to link you with high-quality information and help you analyse it.

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