YouTube announced that it is introducing a feature that will notify users who violate their community guidelines through abusive or spamming comments on videos, and ignoring these warnings will be punished by blocking their ability to comment for a period of 24 hours.
The company hopes to stop the spread of misinformation on the platform, a move it initiated after analyzing the concerns and suggestions of content creators with YouTube accounts.
With an aim to end these problems, it has announced that it is working on improving its automated detection systems and machine learning models to identify and eliminate spam in the comments section of videos.
In this process, YouTube managed to remove more than 110 million spam comments in the first six months of this year. Similarly, the company emphasized that as spammers’ tactics change, their ‘machine learning’ tools will take a new direction to detect their fraudulent activities.
On the other hand, improvements have been made in detecting ‘spambots’, i.e. computer applications designed to automatically and massively send any form of spam, to keep them out of live chats on YouTube.
to end, YouTube has announced the launch of a new feature based warning system for users Those who have made comments that violate the platform’s community guidelines.
In this case, YouTube is responsible for analyzing, detecting and deleting comments that are considered spam or abuse, and it will send notifications to the authors so that they can reconsider their behavior on the service.
If they continue to share these types of comments, YouTube indicated that they may receive a permission and temporarily be unable to comment for up to 24 hours. “Our tests have shown that these warnings or time-outs reduce the likelihood that users will post infringing comments again”The company added in a statement.
It should be noted that this notice is only available for comments written in English, but he hopes to extend it to more languages in the coming months. YouTube has also acknowledged this It’s not a perfect system, but one that can detect legitimate comments and flag them as negative. If so, you’ve encouraged users to report an error.
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