Twitter may slow down spread of misinformation through this upcoming feature

Twitter is increasing its work on ‘misinformation’ labels for deceptive tweets. (Reuters Image)

Twitter is making sincere makes an attempt to maintain it protected for customers who typically fall to the entice of misinformation. The social media big is increasing its work on ‘misinformation’ labels for deceptive tweets. A brand new feature is in works with which a ‘misleading information’ label will pop up each time a consumer interacts with a tweet that may have misinformation.

The feature was unearthed by reverse engineer Jane Manchun who confirmed that though the brand new feature that’s but to be reside doesn’t forestall the consumer to ‘like’ the tweet however warns them with the misinformation label thus slowing down its attain.

The same type of feature is already current the place when a consumer makes an attempt to retweet a publish labelled misinformation, the consumer receives a immediate pointing them to credible data first. Some of these alterations had been introduced within the last weeks of the U.S presidential marketing campaign. This new feature is a continuation of all these measures Twitter is taking to limit the spread of misinformation.

Twitter has confirmed the feature found by Wong however has not given a particular time-frame for its rollout.

This new feature will act as a speed-breaker for misinformation going viral with retweets and likes as it’s going to make customers pause and suppose earlier than amplifying any content material. Before the US Election day, Twitter additionally utilized aggressive warnings and restrictions on tweets of US political figures and campaigners and accounts of customers which have a typical following. Tweets claiming untimely victory appeared on the timeline with aggressive warnings, a feature designed preserving Donald Trumps’ tweets in thoughts.

The US elections have highlighted the issue of the spread of misinformation nevertheless it continues to stay a giant downside with data and opinion sharing on social media. Twitter at its finish is attempting to not let these tweets labelled as misinformation seem on search or injected into consumer timelines even when they don’t comply with the accounts.

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