Google has announced several new enhancements to Google Search today that focus on improving the overall quality of the search results, while at the same time helping searchers evaluate the search quality of the results presented to them.
Google has made improvements to featured snippets, its content advisories, and the about this result.
Featured Snippets callouts now uses MUM and general consensus
Featured snippets in Google Search will now use MUM to help understand if there is a general consensus for the information Google shows as callouts in these featured snippets. Google said that its “systems can now understand the notion of consensus” by using MUM, Multitask Unified Model.
MUM has not been used to date in too many applications within Google Search, limited to COVID vaccine names, Google Lens features and some other applications – more on that here, including now featured snippets.
Now, with the help of MUM, Google can understand if there is a consensus across the web to help highlight the callout portions of the featured snippets. Consensus-based techniques, according to Pandu Nayak, Vice President of Search and Fellow, Google, have meaningfully improved the quality of the featured snippet callouts. It is important to note that this does not come to mean that featured snippets will show facts, it does not necessarily do that but it does help improve the overall quality of featured snippets callouts.
Here is an example where Google’s featured snippet callouts are...
Read Full Story: https://searchengineland.com/google-steps-up-featured-snippets-with-mum-reducing-false-premise-results-by-40-387085
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