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Twitter apologizes for misinformation labels on “oxygen” tweets



To rule in false allegations about covid-1[ads1]9, Twitter misleaded tweets this week with the words

To rule in false allegations about covid-19, Twitter misleaded tweets this week with the words “5G” and “oxygen”.
photo:: Alastair Pike (AFP via Getty Images)

Doing the right thing in technology is not always easy, and it can lead to embarrassing (and funny) mistakes. Just ask Twitter.

As you probably all know, Twitter tried to do this Stop misinformation via covid-19, The disease caused by the novel coronavirus is spreading wildly on its platform. One way to do this is to put misinformation labels on tweets with incorrect information about covid-19, e.g. B. Posts talking about healing the disease (unfortunately, there is no cure yet, although scientists around the world are working on a cure) vaccine).

Illustration for article titled Twitter: Sorry for putting Covid-19 misinformation labels on your oxygen tweets

Twitter in recent weeks started adding These labels refer to tweets that link the rollout of 5G with the spread of covid-19, a topic that has led to several conspiracy theories. For example, some conspiracy theorists claim that radiation from 5G towers weakens the immune system and makes people more susceptible to Covid-19. There is no scientific evidence to support this. However, misinformation about 5G towers has led to this Burn cell phone towers In the United Kingdom.

Tagging tweets that spit out 5G coronavirus conspiracy theories sounds like a good thing, doesn’t it? No doubt, unless the filter system you are using is confused.

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Many Twitter users noticed on Friday that, for some strange reason, Twitter apparently stuck labels on every tweet that mentioned “5G,” “Oxygen,” and “Frequency,” although these tweets weren’t about harmful 5G conspiracy theories . The label refers to a Twitter moment with the title “No, 5G doesn’t cause coronavirus.” and contains information from reputable sources that expose the claims.

The bottom line, of course, was that Twitter users posted endless combinations of the words to see if their tweets were tagged. These types of tweets were obviously not meant to be harmful and were just an attempt to have fun, but Twitter’s filter had no way of knowing.

When it comes to why Twitter picked out “oxygen” and “frequency”, people have The week theorize that it is probably due to a conspiracy theory that claims that 5G is a dangerous frequency that draws oxygen from the atmosphere and thereby disrupts the normal functioning of our body. That is obviously wrong. Twitter has not confirmed that this is the reason why its system has tagged the tweets.

However, it is important to note that this type of “moderation by algorithm” can lead to other problems.

“One of the mistakes in trying to moderate moderation through an algorithm, a problem that doesn’t affect 5G, is that technology companies can suck the oxygen from reform and regulation efforts while shrugging and turning. We tried one thing code and it didn’t work ‘in’ can’t be done, ”wrote defense technology writer Kelsey D. Atherton pointed out in a tweetwho was also hit with a Covid-19 misinformation label.

Illustration for article titled Twitter: Sorry for putting Covid-19 misinformation labels on your oxygen tweets

During the course of the day, Twitter finally stopped tagging the tweets with the keywords we mentioned. A Twitter spokesman said motherboard This weekend, the company’s algorithm is “imperfect and changing,” depending on what’s happening on Twitter. The spokeswoman added that Twitter gave priority to over-labeling to exercise caution and reduce the damage while providing the necessary context.

“In the past few weeks, you may have seen tweets with labels that refer to additional information about covid-19. Not all of these tweets may have had misleading content related to covid-19 and 5G. We apologize for any ambiguity and are working to improve our labeling process. ” Twitter support tweeted on Saturday. “As we improve this process more closely, our goal is to show fewer labels on unrelated tweets.”




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