What if social media isn’t changing your political beliefs—but changing what feels urgent, threatening, and impossible to ignore?

Recommendation systems are built to maximize attention. That means the content that spreads most easily is often emotional, confrontational, and impossible to scroll past. Outrage keeps people watching. Conflict keeps creators producing. And platforms keep profiting from the loop.

In this episode of Interconnected, we investigate whether recommendation systems are merely reflecting political division—or helping manufacture the emotional conditions that make democracy harder to sustain.

The evidence is complicated. Algorithms may not reliably change everyone’s political opinions. But they can still shape what we see, which opponents seem representative, and how politics feels in everyday life.

The feed may not tell you what to believe.

It may influence what you believe deserves your attention.

#PoliticalPolarization #SocialMedia #Algorithms #PoliticalOutrage #Interconnected

Clickbait didn’t have to change your mind. It only had to steal a few seconds of your attention—and teach the internet that your curiosity is profitable.

Every exaggerated headline, fake emergency, and empty promise is part of a system competing to decide what you see, what you ignore, and how long you stay. Publishers get the traffic. Platforms get the data. Advertisers get access to you.

You get the bill: wasted time, weakened trust, and the growing suspicion that everything is trying to manipulate you.

In this episode of Interconnected, Carl Kim investigates the hidden cost of the click—and what happens when the internet rewards headlines for provoking a reaction rather than earning your trust.

If clickbait doesn’t need to fool you to shape what you see, how much of your attention is really yours?

AI can now imitate faces, voices, documents, and even the subtle signals institutions use to decide whether we are trustworthy. Banks, platforms, and security systems are racing to detect synthetic fraud—but their mistakes can go both ways: letting criminals through while locking real people out of their own accounts.

As trust becomes automated, we are asked to prove ourselves through face scans, voice checks, liveness tests, and increasingly invasive forms of verification. But what happens when the systems designed to protect us can no longer tell who is real?

This episode of Interconnected explores the new fraud economy, the limits of deepfake detection, and the unsettling future of having to constantly prove that you are human.