The majority of people most likely stop registering at this point. Between the unlock screen and your destination, you’ve scrolled past three political stories, two civic reminders, and a push notification from a city agency asking you to rate your experience with public services. You open your phone to check something routine, like the weather or perhaps traffic. It hardly makes an impression. That’s the idea.
For many years, persuasive technology—more generally, any digital system intended to influence people’s thoughts or actions—has been subtly and without much public discussion changing American civic life. The same psychological framework that keeps people glued to fitness apps and shopping websites now powers social media platforms, government mobile apps, voter engagement tools, and even federal health portals. Personalized content, feedback loops, and social validation cues are well-known mechanisms. Who is deploying it and for what purpose is different now.
In 2002, behavioral scientist B.J. Fogg laid out three ways that computing technology persuades: as a social actor that imitates human interaction, as a tool that facilitates behavior, and as a medium that generates simulated experience. The way Americans interact with government now reflects all three of those roles. In an effort to encourage taxpayers to comply, the IRS has tested streamlined digital pathways. During the pandemic, social proof messaging and push notifications were crucial for health agencies. Recycling and transit reporting have begun to be gamified by local governments. Whether most people are aware that any of this is intentional design rather than merely convenience is still up for debate.
This uncertainty is the real source of complexity. Is it civic engagement when a well-meaning city government creates an app with streaks, badges, and community leaderboards to reward citizens for reporting potholes, or is it more akin to behavioral conditioning dressed in patriotic colors? There’s a feeling that the distinction has become much more hazy, and not many government officials are worried about it.
Political campaigns were the first to recognize this. By 2016, data analytics companies were reaching voters in specific demographic segments with highly targeted, frequently contradictory digital messaging. Since then, researchers have verified what many had suspected: persuasive content produced by AI can cause quantifiable changes in political attitudes and even vote preference. A 48-hour targeted ad cycle can now accomplish what once required a weeks-long ground campaign.
The asymmetry in all of this is difficult to ignore. When citizens engage with government digital platforms, they are typically unaware that they are within a persuasion architecture. They are merely reading a public health reminder, using an app, and completing a form. In the meantime, the organizations creating those experiences have access to engagement metrics, behavioral data, and increasingly advanced tools to maximize citizen response. Many of these applications actually serve the public interest, so it’s not necessarily sinister. However, it poses serious concerns regarding consent, openness, and the boundary between civic education and manipulation.
This does not appear to be slowing down. All levels of government are being urged to enhance citizen engagement, modernize digital services, and reduce the perceived gap between institutions and the people they serve. In many respects, the most accessible solution to that pressure is persuasive technology. The decisions being made today, primarily by individuals whose names the majority of Americans will never know, may determine whether it eventually strengthens democracy or subtly weakens it.
