The algorithm did not decide to divide us.
Someone built it to make money.
In Part One of The Digital Forge, David Richards MBE sits down with Dr Carolina Scarton, Senior Lecturer in Natural Language Processing at the University of Sheffield, to examine how misinformation evolved from playground rumours into a global industry.
The conversation begins far from Silicon Valley. Carolina grew up in a modest family in rural Brazil, where her parents placed education above everything else. Her journey took her from public school to the University of São Paulo, then Cambridge and Sheffield, helped along the way by teachers and mentors who saw what she was capable of.
There is even an extraordinary family connection to Pelé. Carolina still owns a trophy bearing the footballer’s name from the years when her grandfather played alongside him as a boy in Brazil.
Then the discussion turns to artificial intelligence.
Carolina explains what Natural Language Processing really is, why systems such as ChatGPT can appear to understand us without understanding anything at all, and why so-called AI hallucinations are the predictable output of statistical models rather than machines losing touch with reality.
She also reveals the hidden human labour behind AI safeguards, including poorly paid workers exposed to disturbing material while labelling the content technology companies do not want their models to reproduce.
But the central question is not how AI works.
It is who profits when it goes wrong.
David and Carolina explore engagement algorithms, echo chambers, Cambridge Analytica, Brexit, deepfakes and the extraordinary case of a Muslim man in Pakistan reportedly earning around $1,500 a month by producing AI-generated Islamophobic content about Keir Starmer.
He was not trying to change Britain.
He was optimising for engagement.
Carolina’s conclusion is blunt. The algorithm is only a tool. To understand why misinformation spreads, follow the money.
In Part Two, the conversation moves into schools, the manosphere, collapsing trust in evidence, smartphone bans, Finland’s approach to media literacy and whether AI can help defend truth from the industry it helped create.
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