Fake Pro-Trump Accounts Discovered on Social Network X

• Fake Pro-Trump Accounts Discovered on Social Network X
• Using Stolen Photos
• Here are the details

A joint investigation by CNN has uncovered 17 fake accounts on the social network X, purporting to be young American supporters of former President Donald Trump.

These accounts utilize «stolen photos» from European «influencers» to promote pro-Trump content.

The analysis indicates that these accounts are part of a coordinated campaign to send messages of support for Trump and his MAGA (Make America Great Again) movement.

Although CNN and CIR found no evidence that Trump’s campaign is directly involved, the pattern of behavior of these accounts shows a clear lack of authenticity.

The accounts, with names like «Eva,» «Luna,» and «Sophia,» use altered images and common hashtags with grammatical errors in English.

Fake Pro-Trump Accounts Discovered on Social Network X

Among those affected are fashion and beauty figures from Denmark, Germany, and Russia.

One of them, Debbie Nederlof from Germany, expressed her surprise after discovering her image was being used without her permission to support Trump.

The investigation also found that many of the accounts bear the blue verification mark, suggesting failures in the social network’s authenticity controls.

CNN and CIR reported the fake accounts to X, and although the platform did not initially respond, many of the accounts were subsequently suspended.

As the U.S. elections approach, the investigation underscores the urgent need for greater online vigilance and also collaboration between technology companies, government agencies, and civil society to combat these deceptive campaigns.

The Discovery of Fake Pro-Trump Accounts is Alarming

The discovery of fake pro-Trump accounts on social network X highlights a threat in the digital age.

The use of stolen and manipulated images to promote political agendas underscores the need for greater vigilance and stronger controls on social media.

With the U.S. elections nearing, it is crucial for social networks to increase their efforts to identify and also remove deceptive content.

Collaboration between technology, governments, and civil society will be key to addressing these challenges.

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