3/11/2023 0 Comments Pandu nayak googleNayak outlined some additional measures to help promote ‘information literacy’ among its users. The latest update uses MUM to identify such search queries, and reduces the chance of snippets appearing by 40%. “A recent search for ‘when did snoopy assassinate Abraham Lincoln’ provided a snippet highlighting an accurate date and information about Lincoln’s assassination, but this clearly isn’t the most helpful way to display this result,” Nayak wrote. The new system also reduces the chance of misleading snippets appearing in response to queries based on a false premise. “We’ve found that this consensus-based technique has meaningfully improved the quality and helpfulness of featured snippet callouts.” The content of featured snippets can now be checked against “high-quality sources on the web, to see if there’s a general consensus for that callout, even if sources use different words or concepts to describe the same thing,” Nayak explained. Using MUM, “our systems can now understand the notion of consensus, which is when multiple high-quality sources on the web all agree on the same fact,” wrote Pandu Nayak, Google’s VP of search, in a blog post. To reduce the risk of misinformation appearing in featured snippets, Google analyses relevant sources using its ‘multitask unified model’ (MUM), a ‘multi-modal’ natural language processing technology it developed last year. The search giant is using the system to prevent misinformation being included in the “featured snippets” that appear at the top of its search results. AI engineers at Google have developed a machine learning model that identifies the consensus on controversial topics, the company said this week.
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