AI models trained on sources like Wikipedia inherit their biases. Wikipedia's policy of not allowing citations from leading conservative publications means these viewpoints are systematically excluded from training data, creating an inherent left-leaning bias in the resulting AI models.

Unlike historical propaganda which used centralized broadcasts, today's narrative control is decentralized and subtle. It operates through billions of micro-decisions and algorithmic nudges that shape individual perceptions daily, achieving macro-level control without any overt displays of power.

Despite different political systems, the US and Chinese internets have converged because power is highly centralized. Whether it's a government controlling platforms like Weibo or tech oligarchs like Elon Musk controlling X, the result is a small group dictating the digital public square's rules.

Even though anyone can create media, legacy brands like The New York Times retain immense power. Their established brands are perceived by the public as more authoritative and trustworthy, giving them a 'monopoly on truth' that new creators lack.

While ideological slants exist, the fundamental driver of modern media is negativity. Catastrophic framing and outrage-inducing content are proven to boost virality and engagement, creating a 'stew of negativity' that is more about business models than political affiliation.

Former journalist Natalie Brunell reveals her investigative stories were sometimes killed to avoid upsetting influential people. This highlights a systemic bias that protects incumbents at the expense of public transparency, reinforcing the need for decentralized information sources.

Citing the Global Media Monitoring Project, data shows men are quoted as experts 75% of the time. This isn't just a fairness issue; it leads to narrower, less interesting stories by repeatedly amplifying the same perspectives and reinforcing systemic biases about who holds authority.

The online portrayal of China has fundamentally changed. A decade ago, it was dominated by content from Western expatriates. Post-COVID, this has been largely replaced by content from Chinese nationals, shifting the perspective and control of the narrative to local creators.

Wikipedia was initially dismissed by academia as unreliable. Over 15 years, its decentralized, community-driven model built immense trust, making it a universally accepted source of truth. This journey from skepticism to indispensability may serve as a blueprint for how society ultimately embraces and integrates artificial intelligence.