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A 'Newspeak' world - will generative AI help manipulate language for social control?
'Newspeak' in George Orwell's book '1984' was a fictional language designed to limit an individual's ability to think critically. It was intentionally ambiguous and used euphemisms to cloud reality. It eliminated words so people were unable to name concepts and created new ones to support
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A 'Newspeak' world - if generative AI will be used to manipulate, who stands to benefit?
In this second part of our two-part series, we explore who has the most to gain from using generative AI and social media to manipulate data and how such a situation could play out. Part one looked at the risk to society that generative AI and social media pose in data manipulation terms, and
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An exploration of how generative AI and social media could be used to manipulate language and control narratives, drawing parallels to Orwell's 'Newspeak' and examining the potential beneficiaries of such manipulation.

In George Orwell's dystopian novel '1984', 'Newspeak' was a fictional language designed to limit critical thinking and manipulate reality. Today, experts are drawing parallels between this concept and the potential misuse of generative AI and social media for social control
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.UK communications regulator Ofcom has noted that social media platforms are exposing users to a narrower range of news topics compared to traditional news websites
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. This trend, combined with the 'echo chamber' effect, raises concerns about the manipulation of public opinion.A significant challenge facing Large Language Models (LLMs) is the potential scarcity of training data. An academic study has shown a decrease in user-generated content on message boards following the introduction of LLMs like ChatGPT
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. This reduction in diverse, human-generated data could lead to what experts call "model collapse" or the introduction of biases.As high-quality, diverse data becomes scarce, there's a growing debate about using synthetic data to train AI models. Nick Reese, an Adjunct Professor at the New York School of Professional Studies, warns that while synthetic data is not widely used yet, its implementation could lead to unpredictable outcomes
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.Edward Starkie, Director of Governance, Risk and Compliance at Thomas Murray, expresses concern about the undermining of "bastions of truth" through the use of generative AI and mass postings
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. This manipulation of information, similar to what was seen during Brexit and US elections, could be amplified by the automation capabilities of LLMs.The development of AI, particularly Strong AI or Artificial General Intelligence, is being likened to a new arms race. Sam Raven, an AI Risk Consultant, points out that authoritarian regimes like China and Russia are developing their own LLMs, potentially to destabilize competing societies
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Raven suggests that the AI race is not just about technological superiority but also about controlling narratives. He warns that bad actors could use LLMs to undermine language itself, eroding the very foundation of communication in society
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.Experts suggest that Big Tech stands to gain the most from the current AI landscape. With concerns about data monopolies and the potential rollback of AI safeguards, there are predictions of significant privacy issues on the horizon
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.In response to these challenges, there are calls for increased regulation on AI training data and algorithmic transparency. The European Union has signed off on the EU AI Directive, but questions remain about its effectiveness in regulating the opaque process of training LLMs
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.As AI becomes increasingly integrated into everyday communication, there are concerns about its impact on democracy, education, and personal freedom. The challenge lies in balancing the benefits of this technology while avoiding the pitfalls of an Orwellian dystopia
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.While the future of AI remains uncertain, it's clear that its development and application will have profound implications for society, communication, and the nature of truth itself.
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