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YouTube is introducing a raw data-based lineament that will set aside viewer to tot “ Notes ” to provide more setting and information under videos , the company told TechCrunch exclusively . If the feature sounds similar , it ’s because it abide by the same concept asCommunity Notes on X(formerly Twitter ) .
The Google - owned company says the feature of speech can be used for things like clarify when a Song dynasty is meant to be a parody , or letting spectator know when senior footage is being portrayed as a current event .
The launch comes during a pivotal U.S. election year . While misinformation was a significantissue during the 2020 presidential election , misinformation during the 2024 election is poised to be even more of a problem thanks tothe raise of generative AI . With this new feature of speech , YouTube is likely front to minimize the spread of misinformation on its platform .
To start , the buffer will be available on mobile in the U.S. in English .
YouTube acknowledges that there will likely be mistakes during the test form , as it anticipates that there may be government note that are n’t a great mate for a television or that incorrect info may be included in a note . The company plans to learn from the test form and is also welcoming feedback from viewers and creators on the quality of note .
As part of the test phase , a limited figure of users will be ask over to write notes . Eligible substance abuser will have an active YouTube channel in good standing .
TV audience in the U.S. will start to see notes on television in the come weeks and month . During the initial pilot film , third - party judge will value the helpfulness of and accuracy of notes . YouTube will use these responses to train its systems .
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If the third - party judge find notes to be helpful , they will appear under a video . watcher will then be involve if they think the note is “ helpful , ” “ somewhat helpful ” or “ unhelpful . ” They ’ll be asked why they think a note is helpful or unhelpful . For illustration , a someone can say they found a note to be helpful because it advert high - quality informant or because it was written in a neutral agency .
YouTube will then use an algorithm to square off which notes are publish based on the evaluation they have invite . The algorithm will identify note that are helpful to a broad audience . For instance , if a important number of citizenry who antecedently fink preeminence differently now rate a special banknote as helpful , YouTube will be more probable to display that note under a video .
The company says the organisation will continuously improve as more bank bill are submitted and rated across unlike types of videos on the platform . As it better the feature , YouTube will also watch whether it makes sense to officially drift it out .
