Trump defends Musk as backlash to federal workers ultimatum grows

Contributing sentiments towards policy:

49% : American Federation of Government Employees (AFGE), a union representing about 800,000 of the 2.3 million-strong federal workforce, said Musk’s original email was a cynical ploy aimed at intimidating workers into resigning.
47% : Trump said.
46% : his wealthiest and most high-profile lieutenant threatened with loss of face and authority, Trump used a meeting with the French president, Emmanuel Macron at the White House on Monday to deliver a vote of confidence.
34% : The US president was driven to intervene amid the first signs of internal dissension over the disruptive impact of Musk’s so-called “department of government efficiency” (Doge), which Trump has authorised to seek mass firings in the federal workforce and reduce supposed waste and corruption.
32% : Donald Trump has stepped in to defend Elon Musk from a mounting backlash in his own administration after some cabinet members told US federal workers to ignore the billionaire entrepreneur’s demand that they write an email justifying their work.
26% : ”Musk’s original post at the weekend had come after Trump had praised Doge’s work but urged him to “get more aggressive”.
17% : A more audacious sign of dissent was on display at the Department of Housing and Urban Development (Hud), where television monitors played what appeared to be AI-generated false images of Trump sucking Musk’s toes in a loop, with “long live the real king” written over the footage, according to the Washington Post, citing people working at the department.skip past newsletter promotionSign up to This Week in TrumplandA deep dive into the policies, controversies and oddities surrounding the Trump administrationPrivacy Notice: Newsletters may contain info about charities, online ads, and content funded by outside parties.
16% : The Department of Health and Social Services (DHSS) – headed by one of Trump’s most contentious nominees, Robert F Kennedy Jr – told workers to be vague if they wished to answer.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.