Twitter To Notify Users When Replied Or Retweeted Tweet Gets Community Note

Twitter has introduced new Community Notes features to enable the retraction of a retweet in certain situations as part of its crowdsourced fact-checking initiative.

Community Notes seek to improve public knowledge by enabling users on Twitter to cooperatively provide context to potentially erroneous Tweets.

Any Tweet can have notes added to it, and if enough people from various perspectives evaluate the remark as useful, the note will be displayed publicly.

When Community Notes contributors add contextual information to a tweet that a user liked, retweeted, or replied to, Twitter will now alert users.

According to a tweet from Twitter, "this helps give consumers extra context that they might otherwise miss."

Starting today, you’ll get a heads up if a Community Note starts showing on a Tweet you’ve replied to, Liked or Retweeted. This helps give people extra context that they might otherwise miss. pic.twitter.com/LIcGgl2zdJ

— Community Notes (@CommunityNotes) February 21, 2023

A tweet's relevance to recommendation algorithms can be increased by like, retweeting, or reacting to it.

Twitter has been promoting its algorithmic feed for some time. People may withdraw their likes or retweets if a Community Notes contributor's context refutes the initial viewpoint.

For US-based users, the programme was first released in 2021 under the name "Birdwatch."

Even though Jack Dorsey deemed it to be the "most boring Facebook name ever," Elon Musk changed the program's name to "Community Notes" after purchasing Twitter.

Twitter began displaying Community Notes to all users worldwide in December.

In addition to the US, the company started accepting notes from contributors in the UK, Ireland, Australia, and New Zealand in January.

Hence, the Community Notes initiative still lacks a broad context.

Musk and company have made adjustments to the algorithm over the past few months, including adjusting the visibility of low-quality notes, broadening the types of notes available to contributors, and stabilising the effect score of contributions.

Twitter's reliance on algorithms and crowdsourcing for content moderation has grown quickly as a result of the new management's mass layoffs of employees, including contractors in the safety and trust division.

The fact that the corporation has stopped providing free API access to researchers—many of whom helped identify hate speech and disinformation on the platform—could make this duty much more difficult.