The Digital Afterlife of Big Brother

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Dean J. Hill outlines how Orwellian anxieties about privacy, truth and power are recast by algorithmic platforms.

Dean’s recent (June 2025) talk on this subject is available here.

Introduction

My analysis uses Orwell’s dystopian novel Nineteen Eighty-Four as a lens to examine TikTok Live and its ecosystem: the platform’s algorithmic personalisation and content moderation bear eerie resemblances to Big Brother’s institutions (panopticon surveillance, Thought Police, Ministry of Truth), yet the analogy is nuanced since TikTok is a corporate platform rather than a totalitarian regime. Consequently I’d argue that TikTok Live embodies a ‘digital afterlife’ of Orwell’s surveillance state in five themes:

algorithmic surveillance,

the panoptic self,

content moderation as Thought Police,

algorithmic curation as Ministry of Truth

and doublethink in the social media age.

Algorithmic Surveillance

At the core of TikTok’s power is its algorithmic surveillance. Unlike Orwell’s state surveillance – driven by ideology and the Party – modern platforms operate under what Shoshana Zuboff calls ‘surveillance capitalism’ which ‘unilaterally claims human experience as free raw material for translation into behavioral data’. By harvesting this behavioural surplus, TikTok and its peers package and sell our lives back to advertisers. Where Big Brother’s omnipresent gaze served the Party’s ideological control, TikTok’s ubiquitous data capture serves algorithmic imperatives of maximising engagement and converting attention into revenue.

The Panoptic Self

While Orwell’s fiction imagined ‘Big Brother’ as an omniscient sovereign, TikTok’s algorithm is a secretive entity that ‘determines which content is prioritized and which is not’ through opaque processes. The upshot is a profound surveillance loop: the platform encourages visible participation (likes, duets, comments) that then feeds back into a user’s profile. In sum, TikTok Live transforms its participants into both watchers and watched, echoing Orwell’s Big Brother through a networked panopticon of self-surveillance.

Content Moderation as Digital Thought Police

In Nineteen Eighty-Four, the Thought Police suppress any dissenting thought; linguistic and behavioural conformity are strictly enforced. On TikTok, an analogous enforcement operates under the guise of content moderation. Alarmingly, journalistic investigations and academic research have shown that TikTok moderators were explicitly instructed to suppress content featuring marginalised individuals. Citizens on TikTok tend to avoid controversial topics or subtle criticism of the platform or politics, even in private posts. The result is self-censorship in which the ‘Thought Police’ become algorithms and semi-anonymous moderators.

It is worth noting, however, that TikTok’s Thought Police are not a monolithic ideology-enforcing state apparatus. Instead, enforcement is fragmented between human moderators and automated filters; yet users conflate these systems as ‘the algorithm’, not realising how content guidelines, automated systems and human reviewers intersect. Nevertheless, the effect is Orwellian,

Algorithmic Curation as a Ministry of Truth

In Nineteen Eighty-Four, the Ministry of Truth rewrote history and disseminated propaganda, ensuring that citizens encountered only the Party’s constructed version of reality. In TikTok’s world, algorithmic curation plays a strikingly comparable role in shaping perception. Much like Orwell’s ‘prolefeed’ – the endless stream of trivial entertainment and propaganda – the app’s algorithmically curated video feed can easily drown out inconvenient truths or dissenting voices, narrowing the spectrum of ideas and shaping collective perception in ways that are largely invisible to users.

Such algorithmic shaping of perception has a significant consequence: the emergence of filter bubbles and echo chambers. TikTok’s personalised recommendation systems can quickly narrow the scope of content a user encounters, reinforcing existing interests and beliefs while limiting exposure to diverse viewpoints. Notably, social media algorithms do not distinguish between true and false information so ‘fake news’ stories can proliferate unchecked, replicating Big Brother’s twist of newspeak: facts become whatever the feed presents most often. In Orwell’s terms, while the Party officially rewrote the past, TikTok’s AI rewrites what its users see; users may not realise how their ‘news’ is manufactured, but the personalised feed means they often never encounter anything that challenges the dominant narrative of their bubble.

Doublethink in the Social Media Paradox

Finally, Orwell’s concept of doublethink – the capacity to hold two contradictory beliefs at once – has found a striking modern parallel on social media. In Nineteen Eighty-Four, citizens unquestioningly accept inconsistencies because the Party dictates what is real. Today, platforms like TikTok foster a similar paradox: users vocally promote authenticity and truth yet willingly embrace obvious falsehoods or propaganda when it suits their interests or gains algorithmic approval. It is common to observe users denouncing surveillance while concurrently broadcasting their private lives or condemning censorship even as they share content that infringes on others’ rights. Nevertheless, unlike in Orwell’s world where one Party truth prevailed, our digital ‘post-truth world’ increasingly allows for fragmented realities in which personalisation algorithms create ‘a unique universe of information for each of us’, enabling individuals to form their own distinct views of what constitutes truth and reality. Thus, TikTok users often inhabit a fragmented reality where contradictory ‘truths’ coexist, reflecting the concerns about eroding shared common ground.

At the same time, this environment makes users vulnerable to manipulation. As Orwell warned, when lies become routine, people will accept them as facts – a danger vividly captured in his novel Nineteen Eighty-Four: ‘The Party told you to reject the evidence of your eyes and ears. It was their final, most essential command’. Today, TikTok fosters a similar risk. People may share a debunked story while proclaiming themselves critical thinkers. This cognitive dissonance – believing both that they are well-informed and trust unverified viral content – is a form of modern doublethink. TikTok’s dynamics create a world eerily reminiscent of Orwell’s: one in which objective truth is malleable and paradoxical thinking is normalised.

Conclusion: Privacy, Power and Resistance

Viewing TikTok Live through Orwell’s perspective highlights chilling similarities to Nineteen Eighty Four AND crucial differences. Today’s users are constantly observed – not by a single authoritarian regime, but through the more insidious gaze of algorithms and data-driven corporations. Privacy is under threat as every live stream feeds a vast surveillance apparatus, justified by the promise of personalisation. In both Orwell’s world and ours, individual autonomy is compromised by powers that are largely invisible and unaccountable.

In the end, TikTok Live embodies a modern paradox: a space where surveillance and self-expression coexist, and where users may willingly participate in their own observation. The challenge is to recognise the subtle forms of control at play, to question curated truths, and to carve out spaces for privacy and dissent. Only through vigilance and active resistance can we ensure that Orwell’s dystopia remains a cautionary tale, not our reality.

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This is an abridgement of ‘TikTok Live and the Digital Afterlife of Orwell’s Big Brother’ by Dean J. Hill. A fully referenced version will appear in a future issue of George Orwell Studies. The article and talk are drawn from a larger body of work examining the intersections of Orwellian thought, platform dynamics and algorithmic mediation in the digital age.

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Dean J. Hill is a postgraduate researcher in the Department of English Literature at the University of Birmingham, investigating the interplay between literature and artificial intelligence as it relates to contemporary surveillance culture. His current research investigates how AI-mediated systems extend Orwellian surveillance motifs into contemporary digital culture.