Twitter is working to broaden the usage of its “misinformation” labels on misleading tweets. The company has developed a new feature, which is not released yet, that would pop up a “misleading information” label when a user tries to “Like” a tweet that’s been labeled as misinformation.
The option was discovered by reverse engineer Jane Manchun Wong in the Twitter app code. She affirms the addition does not avert a user from continuing to “Like” the tweet, however, this option merely allows you to slow down. A very much alike warning appears today when the users try to retweet posts labeled as containing misinformation.
This new feature would fall in line with other measures Twitter has been taking to slow the circulation of misinformation on its service. On October 20, 2020, Twitter began to prompt anyone who goes to retweet something to share a quote tweet instead. The inclusion of a bit of resistance is meant to help users pause and think about what they’re amplifying, as did the change they’re sharing.
Besides, Twitter also presented a series of new policies ahead of Election Day in the U.S., to further guide its handling of misleading tweets. Beyond just labeling misinformation, it applied more aggressive warnings and restrictions on tweets from U.S. political figures, including candidates and campaign accounts. Also, other U.S.-based accounts that met certain thresholds in terms of followers, or tweet engagements.
Twitter Furthermore, added more warnings and restrictions on tweets from U.S. political figures, including candidates and campaign accounts. As well as other U.S-based accounts so that their platform could not be used as a tool by political figures to manipulate their voters using wrong information.
“Our goal is to give people the context and tools necessary to find credible information on our service — no matter the topic or where they are seeing the Tweet,” a Twitter spokesperson said. “This is an iterative process, and we’re continuing to explore features and policies to help people on Twitter make their own informed decisions.”
Source and Image Credits: TechCrunch
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