The Reality Game: How the Next Wave of Technology Will Break the Truth: Summary & Key Insights

Before the internet revolution, propaganda was already a well-practiced art. Governments used radio, print, and television to shape narratives during war and peace. What is new about our era is not propaganda itself, but its automation, personalization, and relentless speed. In the early twentieth century, propaganda was a centralized act—strategists wrote broadcasts or posters aimed at mass audiences. Today, computational propaganda targets individuals one by one, exploiting psychological profiles and behavioral data harvested from our online lives.

In tracing this history, I found striking continuities. The principles developed by propagandists—emotional appeal, repetition, authority—remain intact. What’s changed is their execution. A false message that once took weeks to circulate can now travel globally within minutes, guided by algorithms designed to maximize engagement rather than accuracy. Even in the pre-digital age, citizens were vulnerable to manipulative media, but at least the distortions were visible; newspapers had editors, programs had identifiable sponsors. In the digital sphere, authorship fades. Messages appear organic, shared by “friends,” and disguised as genuine grassroots sentiment.

Understanding this lineage helps us see computational propaganda not as an anomaly but as an evolution of established techniques. It underscores that the current crisis was predictable—and that its roots lie in the same human impulses for persuasion, fear, and control that have always accompanied communication technologies.

When social media ascended, it was heralded as the great democratizer of information. We believed that by giving everyone a voice, truth would flourish through transparency. Instead, it created a fertile ground for manipulation. Computational propaganda, the use of algorithms and automation to spread misleading narratives, emerged as a new political weapon. I witnessed its rise in global elections, from the United States to Brazil and the Philippines, where networks of fake accounts and coordinated data operations distorted public debate.

The shift began when political campaigns realized that social platforms could be used not just to advertise but to deceive. Bots—automated software agents—could impersonate voters, amplify certain viewpoints, or swarm opponents. The illusion of popularity became a strategic asset. A hashtag boosted by thousands of automated accounts could appear genuine, shaping journalistic coverage and voter perception. Platforms, designed for engagement, rewarded this activity; outrage and falsehoods spread faster than fact-based corrections.

This dynamic revealed something profound about digital society: our technologies are not neutral. They embody business models that prioritize attention, not accuracy. Computational propaganda exploits that model efficiently, transforming social networks into ecosystems of emotional manipulation. Recognizing this interdependence is vital for reform. We cannot fix disinformation without addressing the incentives that sustain it.