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What Trump’s ‘Good English’ Remark Really Reflects

What Trump’s ‘Good English’ Remark Really Reflects

Here’s a classic Trump moment: praising Liberian President Joseph Boakai’s “beautiful English” like it’s some kind of surprise. Spoiler alert — Liberia’s English isn’t just “beautiful” by accident. This Time article by Chad de Guzman digs into the awkward mix of language, history, and cluelessness wrapped up in Trump’s comment. Perfect reading if you’re into how language and identity clash (and how some politicians still can’t get it right).

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Donald Trump has yet to visit Africa as President. But he’s certainly left an impression.

In his first term, Trump angered the continent’s leaders and public when he reportedly referred to Haiti and African nations as “sh-thole countries.” Amid blowback, Trump denied using the specific phrase, while Democratic Senator Dick Durbin of Illinois, who was present in the closed-door meeting where the remark was supposedly uttered, told media at the time that Trump made “hate-filled, vile and racist” comments “and he said them repeatedly.”

In his second term so far, Trump has been criticized for championing false claims of “white genocide” in South Africa, granting refugee privileges to white Afrikaners while implementing new travel restrictions that inexplicably seem to target several majority-Black African nations.

He’s also gutted humanitarian assistance to the continent. Africa was one of the biggest recipients of support from the U.S. Agency for International Development (USAID), and millions of Africans are expected to die as a result of the agency’s dismantling.

To many, these moves seemed reflective of Trump’s apparent disregard for the continent.

But Africa, in the words of a Brookings Institution research paper from January, “is increasingly recognized as the next frontier for global economic growth. Its potential is vast, characterized by diverse natural resources, a burgeoning youth population, and untapped innovation.”

And in recent years it’s also become a battleground for global influence in the U.S.-China geopolitical rivalry—a battleground on which analysts say China appears to be winning through consistent development investment, security engagement, and media charm.

“Chinese success in Africa is perhaps partly due to the failure of US foreign policy, which ranges from outright disrespect to moralistic treatment,” wrote Chinese political scientist Wenfang Tang in the South China Morning Post in 2024, compared to “the Chinese approach of treating Africans as comrades and business partners.”

In an effort to combat China’s growing influence and set the U.S.-Africa relationship on a stronger footing, Trump invited his counterparts from Gabon, Guinea-Bissau, Liberia, Mauritania, and Senegal to the White House on Wednesday to discuss commercial opportunities as part of a diplomatic pivot he characterized as “from aid to trade.”

“We treat Africa far better than China or anybody else,” Trump asserted during the meeting.

As many of the African leaders expressed gratitude for the invite, Trump appeared surprised when Liberia’s President Joseph Boakai spoke. “We want to work with the United States in peace and security within the region because we are committed to that and we just want to thank you so much for this opportunity,” Boakai said.

In turn, Trump responded: “Thank you. And such good English. Such beautiful. Where did you learn to speak so beautifully? Where were you educated? Where?”

When Boakai answered that he learned the language in Liberia, Trump responded: “That’s very interesting. Beautiful English! I have people at this table who can’t speak nearly as well.”

The comment immediately drew blowback from outside observers.

An unnamed Liberian diplomat told CNN that he found it “a bit condescending.” U.S. Rep. Jasmine Crockett (D, Texas) said it was “peak ignorance” in a post on X. “Trump never misses an opportunity to be racist and wrong, and every day he finds a new way to be embarrassing,” Crockett wrote. “I’m pretty sure being blatantly offensive is not how you go about conducting diplomacy.”

English is the official language of Liberia, a country of 5 million people on Africa’s western coast that was founded in 1822 by the American Colonization Society (ACS), which aimed to resettle freed slaves, and declared independence in 1847.

In a statement, the White House said the remark deemed offensive by some was a “heartfelt compliment.”

While Trump has repeatedly shown a preference for English, signing an executive order in March to make it the official language of the U.S., it’s not the first time Trump has commented on how it’s spoken.

“What a beautiful accent,” he told British Prime Minister Keir Starmer in February.

In mid-February, he bypassed an Indian reporter’s question after remarking, “I can’t understand a word he’s saying. It’s the accent. It’s a little bit tough for me to hear that.”

“It’s a beautiful voice and a beautiful accent,” he told an Afghan reporter earlier the same month, twice again using what seems to be his favorite adjective. “The only problem is I can’t understand a word you’re saying.”

And just last month, Trump told German Chancellor Friedrich Merz, “you speak such good English … very good, very good.”

Linguistics researchers have said that Trump’s attitudes—and everyone’s, really—toward accents tend to reflect the listener’s biases about the speaker more than any objective qualities to the speech.

“It’s pretty much universal,” sociophonetician Nicole Holliday told the Washington Post in 2016. “You can go anywhere in the world and ask who speaks the ‘bad’ version of the language — and invariably, it’s the people who are marginalized, who are rural, poor, or belong to religious minorities.”

“The attitude we have about foreign accents is affected by our social knowledge of a person, their accent and where they come from,” Nicole Rosen, a language interactions professor at the University of Manitoba, wrote in The Conversation earlier this year, suggesting that dynamic may have been reflected in Trump’s praise of European leaders’ English in contrast to his dismissal of South Asian and Middle Eastern journalists’ English.

Rosen also noted that studies show that people “tend to rate their own dialects as very pleasant.”

It may be for that reason that Trump reacted positively to hearing Boakai speak—and why Boakai himself seemed unbothered by Trump’s reaction.

“We know that English has different accents and forms, and so him picking up the distinct intonation that has its roots in American English for us was just recognizing a familiar English version,” Liberia’s Foreign Minister Sara Beysolow Nyanti told CNN. “What President Trump heard distinctly was the American influence on our English in Liberia, and the Liberian President is not offended by that.”

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The Conscious Style Guide

The Conscious Style Guide

Read Online

A Note From the Founder

I’m bothered by the lack of distinction between generative AI and non-generative AI (also called traditional machine learning, traditional AI, analytical AI) in nearly all AI coverage and commentary.

Thanks for reading Capturing Voices! Subscribe for free to receive new posts and support my work.

Collapsing different types of AI into one term, “AI,” promotes confusion and misinformation about what we really need to pay attention to and be concerned about. When products, for example, are described as “using AI” or “having AI,” it tells me nothing about what is actually being used or whether there are ethical issues involved, e.g., theft of creators’ works by gen AI.

Continue reading on LinkedIn >

The Conscious Style Guide

The Conscious Style Guide

Read Online

A Note From the Founder

I’m bothered by the lack of distinction between generative AI and non-generative AI (also called traditional machine learning, traditional AI, analytical AI) in nearly all AI coverage and commentary.

Thanks for reading Capturing Voices! Subscribe for free to receive new posts and support my work.

Collapsing different types of AI into one term, “AI,” promotes confusion and misinformation about what we really need to pay attention to and be concerned about. When products, for example, are described as “using AI” or “having AI,” it tells me nothing about what is actually being used or whether there are ethical issues involved, e.g., theft of creators’ works by gen AI.

Continue reading on LinkedIn >

Synthetic sugar-coated nanoparticle blocks Covid-19 from infecting human cells

Synthetic sugar-coated nanoparticle blocks Covid-19 from infecting human cells

Groundbreaking research led by a Swansea University academic has revealed a synthetic glycosystem – a sugar-coated polymer nanoparticle – that can block Covid-19 from infecting human cells, reducing infection rates by nearly 99%.

The glycosystem is a specially designed particle that mimics natural sugars found on human cells. These sugars, known as polysialosides, are made of repeating units of sialic acid – structures that viruses often target to begin infection. By copying this structure, the synthetic molecule acts as a decoy, binding to the virus’s spike protein and preventing it from attaching to real cells.

Unlike vaccines, which trigger immune responses, this molecule acts as a physical shield, offering a novel approach to infection prevention.

Using advanced lab techniques to measure molecular interactions and simulate virus binding, researchers found that the glycosystem binds to the virus 500 times more strongly than a similar compound containing sulphates but no sugars. It was also effective at very low doses and worked against both the original SARS-CoV-2 strain and the more infectious D614G variant.

Tests on human lung cells showed a 98.6% reduction in infection when the molecule was present. Crucially, the research highlighted that its effectiveness stems not just from its charge, but from its precise sugar structure – giving this glycosystem its powerful infection-blocking capability.

The discovery is the result of collaboration between Swansea University, Freie Universität Berlin, and Charité – Universitätsmedizin Berlin.

Ultimate guide to the essential tools for the characterization of proteins, polymers and nanoparticles eBook Compilation of the top interviews, articles, and news in the last year.Download the latest edition

As the main corresponding author and research supervisor, Dr Sumati Bhatia, Senior Lecturer in Chemistry at Swansea University, said: “Leading this research, alongside our international partners, has been incredibly rewarding. It opens a new direction for using glycosystems as a therapeutic strategy against SARS-CoV-2 and could lay the foundation for a new class of antiviral therapies to protect those most at risk.”

The team is now preparing for further biological testing in high-containment laboratories to assess the molecule’s effectiveness against multiple virus strains.

T

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his breakthrough could pave the way for antiviral nasal sprays, surface disinfectants, and treatments to protect vulnerable groups, offering a new line of defense against Covid-19 and future pandemics.

Source:

Swansea University

Journal reference:

Khatri, V., et al. (2025). Polysialosides Outperform Sulfated Analogs for Binding with SARS-CoV-2. Small. doi.org/10.1002/smll.202500719.

Synthetic sugar-coated nanoparticle blocks Covid-19 from infecting human cells

Synthetic sugar-coated nanoparticle blocks Covid-19 from infecting human cells

Groundbreaking research led by a Swansea University academic has revealed a synthetic glycosystem – a sugar-coated polymer nanoparticle – that can block Covid-19 from infecting human cells, reducing infection rates by nearly 99%.

The glycosystem is a specially designed particle that mimics natural sugars found on human cells. These sugars, known as polysialosides, are made of repeating units of sialic acid – structures that viruses often target to begin infection. By copying this structure, the synthetic molecule acts as a decoy, binding to the virus’s spike protein and preventing it from attaching to real cells.

Unlike vaccines, which trigger immune responses, this molecule acts as a physical shield, offering a novel approach to infection prevention.

Using advanced lab techniques to measure molecular interactions and simulate virus binding, researchers found that the glycosystem binds to the virus 500 times more strongly than a similar compound containing sulphates but no sugars. It was also effective at very low doses and worked against both the original SARS-CoV-2 strain and the more infectious D614G variant.

Tests on human lung cells showed a 98.6% reduction in infection when the molecule was present. Crucially, the research highlighted that its effectiveness stems not just from its charge, but from its precise sugar structure – giving this glycosystem its powerful infection-blocking capability.

The discovery is the result of collaboration between Swansea University, Freie Universität Berlin, and Charité – Universitätsmedizin Berlin.

Ultimate guide to the essential tools for the characterization of proteins, polymers and nanoparticles eBook Compilation of the top interviews, articles, and news in the last year.Download the latest edition

As the main corresponding author and research supervisor, Dr Sumati Bhatia, Senior Lecturer in Chemistry at Swansea University, said: “Leading this research, alongside our international partners, has been incredibly rewarding. It opens a new direction for using glycosystems as a therapeutic strategy against SARS-CoV-2 and could lay the foundation for a new class of antiviral therapies to protect those most at risk.”

The team is now preparing for further biological testing in high-containment laboratories to assess the molecule’s effectiveness against multiple virus strains.

T

Thanks for reading Capturing Voices! Subscribe for free to receive new posts and support my work.

his breakthrough could pave the way for antiviral nasal sprays, surface disinfectants, and treatments to protect vulnerable groups, offering a new line of defense against Covid-19 and future pandemics.

Source:

Swansea University

Journal reference:

Khatri, V., et al. (2025). Polysialosides Outperform Sulfated Analogs for Binding with SARS-CoV-2. Small. doi.org/10.1002/smll.202500719.

Scientists Identify a Trait in Speech That Foreshadows Cognitive Decline

Scientists Identify a Trait in Speech That Foreshadows Cognitive Decline

Could the way we speak reveal what’s happening in our brains? In article, science writer Carly Cassella dives into new research showing that slower speech might be an early sign of cognitive decline — even before memory issues show up. Using AI to analyze speech from people across a wide age range, researchers found a strong link between speaking speed and brain health. It’s a thought-provoking read, especially for anyone interested in aging, neuroscience, or just how much our words might say about us.

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Early signs of Alzheimer’s disease may be hidden in the way a person speaks, but it’s not yet clear which details of our diction are most critical for diagnosis.

A study from 2023 suggests that as we age, how we say something may matter more than what we say. Researchers at the University of Toronto think the pace of everyday speech may be a better indicator of cognitive decline than difficulty finding a word.

Lethologica, also known as ‘tip of the tongue‘ phenomenon, is experienced by young and old alike. But as we grow older, finding the name for things can become more challenging, especially over the age of 60.

To explore why that is, researchers at the University of Toronto asked 125 healthy adults, between the ages of 18 and 90, to describe a scene in detail.

Next, the participants were shown pictures of everyday objects while listening to audio that was designed to confirm or confuse them.

For instance, if participants were shown a picture of a broom, the audio might say ‘groom’, which helps them recall the word through rhyme. But on the flip side, the audio might also offer a related word like ‘mop’, which can lead the brain astray, momentarily.

The faster a person’s natural speech in the first task, the more quickly they came up with answers in the second task.

The findings align with the ‘processing speed theory’, which argues that a general slowdown in cognitive processing lies at the very center of cognitive decline, not a slowdown in memory centers specifically.

“It is clear that older adults are significantly slower than younger adults in completing various cognitive tasks, including word-production tasks such as picture naming, answering questions, or reading written words,” explained a team led by University of Toronto psychologist Hsi T. Wei.

“In natural speech, older adults also tend to produce more dysfluencies such as unfilled and filled pauses (e.g., “uh” and “um”) in between speech and have a generally slower speech rate.”

In a 2024 piece for The Conversation, dementia researcher Claire Lancaster said that the study from Toronto “has opened exciting doors… showing that it’s not just what we say but how fast we say it that can reveal cognitive changes.”

Recently, some AI algorithms have even been able to predict an Alzheimer’s diagnosis with an accuracy of 78.5 percent using speech patterns alone.

Other studies have found that patients with more signs of amyloid plaque in their brain are 1.2 times more likely to show speech-related problems.

Amyloid plaques are a hallmark of Alzheimer’s disease.

In 2024, researchers at Stanford University led a study that found longer pauses and slower speech rates were also associated with higher levels of tangled tau proteins, another hallmark of Alzheimer’s.

“This suggests that speech changes reflect development of Alzheimer’s disease pathology even in the absence of overt cognitive impairment,” the authors of the study concluded.

The groundwork is still being laid, but scientists are getting closer to decoding the nuances of human speech to figure out what our words are saying about our brains.

The 2023 study was published in Aging, Neuropsychology, and Cognition.

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