Home » today » Technology » Twitter works on tagging your tweets based on how wrong you are Twitter works on tagging your tweets based on how wrong you are June 2, 2021 by world today news —Photo: Leon Neal (Getty Images)– Twitter is one of many social media companies fighting to prevent misinformation from spreading rampant on its platform. His latest attempt at moving the needle appears to be a system of tiered warning labels that change depending on how wrong you are, according to applications researcher Jane Manchun Wong. For now, there are three levels of misinformation warning labels: “Get the latest”, “Stay informed” and “Misleading”. tweeted Wong on Monday. The accuracy of a tweet determines whether Twitter systems include one of these three tags, each of which includes a message that directs users to additional information. Apparently, these tags would link to a page edited by Twitter or an approved external source, as with disinformation tags by the covid-19 and the United States presidential elections. Wong, who reverse-engineers popular apps to discover features that are still in development, shared a screenshot of his efforts after experimenting with Twitter’s new system. He tweeted: “I snorted 60 grams of dihydrogen monoxide and I don’t feel very well right now,” which in his example triggered a “Get the latest” tag with information about the water. When he tweeted “In 12 hours, parts of the world will be plunged into darkness. Stay tuned, ”a“ Stay Informed ”tag appeared, prompting users to learn more about the concept of time zones. And when he tweeted “We eat. Turtles eat. Therefore, we are turtles ”, Twitter put a tag of“ Wrong ”on the post, pointing out that it is a logical fallacy. G/O Media may get a commission — This feature could help reduce the spread of misinformation or at least provide important context for issues that may be too nuanced to fit into 280 characters. However, it raises concerns about censorship, particularly considering that we have seen social media platforms they censored Palestinian voices in recent weeks amid Israel’s conflict. The algorithms from Twitter is they have wrong before, and it’s clear that mislabeling uncomfortable truths as “fake news” could have lasting repercussions. It is unclear when this feature will launch, or if it will see the light of day, or if there will be consequences for users caught repeatedly posting misinformation. Twitter did not immediately respond to Gizmodo’s request for comment on Monday, but we will update this blog if we receive a response. And although all this is technically unconfirmed, For now, Wong’s research has accurately predicted several Twitter developments in recent months, including the debut of a feature. donations and the relaunch of public verification program inactive for a long time. Between Addressing Potentially Harmful Covid-19 Misinformation and Stopping the Spread of Conspiracies About the U.S. Presidential Election By 2020, social media companies have launched a series of new features with the objective of stopping the spread of misinformation. The last year, Twitter added a message what do you ask if you want to read the article before retweeting. In January, it launched Birdwatch, an effort Powered by the Twitter community to combat misinformation that relies on a small group of users across the political spectrum to point out potentially misleading content. – . Related posts:Gaming chewing gum is officially created and it is not a joke. Razer created itTHQ Nordic Announces Digital Showcase 2023 for August: Unveiling New Games and UpdatesHelldivers 2: Release and Update - Multiplayer Connection Issues ResolvedOnePlus Nord CE 2 5G: mid-range model with a lot of technology - Tablets and phones - .PlansShare this:FacebookX Related Diplomacy – A Chargé d’Affaires appointed to the United States Embassy in Canada Vaccination days against covid-19 at the LUPE organization Leave a Comment Cancel replyCommentName Email Website Save my name, email, and website in this browser for the next time I comment. Δ This site uses Akismet to reduce spam. Learn how your comment data is processed. Search for: