Google’s looking to add more context to its Search results, in order to mitigate the spread of misinformation, by adding improved contextual data matching for Search Snippets, and more supplementary info within Search results, in order will help users decide on which results are most accurate.
First off, Google’s improved its algorithms that fuel its Search snippets, which are the direct response results that it displays in Search queries.
As explained by Google:
“By using our latest AI model, Multitask Unified Model (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. Our systems can check snippet callouts (the word or words called out above the featured snippet in a larger font) against other 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. We’ve found that this consensus-based technique has meaningfully improved the quality and helpfulness of featured snippet callouts.”
In other words, the system can now double-check stated facts and claims for use in snippets, which should help to improve the accuracy of the displayed results.
In addition, Google also says that its systems are also getting better at understanding when a featured snippet doesn’t provide relevant context.
“This is particularly helpful for questions where there is no answer: for example, a recent...
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