According to Van Jones, cable news has pivoted from breaking news to manufacturing conflict. The primary goal is no longer live reporting but creating contentious segments designed to be clipped and go viral on social media, fundamentally changing the business.

The feeling of deep societal division is an artifact of platform design. Algorithms amplify extreme voices because they generate engagement, creating a false impression of widespread polarization. In reality, without these amplified voices, most people's views on contentious topics are quite moderate.

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.

A/B testing on platforms like YouTube reveals a clear trend: the more incendiary and negative the language in titles and headlines, the more clicks they generate. This profit incentive drives the proliferation of outrage-based content, with inflammatory headlines reportedly up 140%.

Media outlets are incentivized to generate clicks through hype and fear. This creates a distorted view of the market, causing retail investors to panic-sell during downturns and FOMO-buy during bubbles. The reality is usually somewhere in the less-exciting middle.

Journalism's inherent bias toward sudden, negative events creates a pessimistic worldview. It overlooks slow, incremental improvements that compound over time, which data analysis reveals. This explains why data-oriented fields like economics are often more optimistic.

Societal polarization is not just ideological but algorithmic. Social media platforms are financially incentivized to amplify divisive content because "enragement equals engagement," which drives ad revenue. This creates a distorted, more hostile view of reality than what exists offline.

The 20th-century broadcast economy monetized aspiration and sex appeal to sell products. Today's algorithm-driven digital economy has discovered that rage is a far more potent and profitable tool for capturing attention and maximizing engagement.

A huge portion of the market, dominated by social media and AI companies, connects shareholder value directly to enragement and isolation. Algorithms are designed to sequester users and serve them content that confirms biases or angers them, keeping them engaged.