In the age of constant connectivity, misinformation is not just spreading — it is outpacing the truth. A landmark study from the Massachusetts Institute of Technology found that false news on X (formerly Twitter) travels “farther, faster, deeper, and more broadly than the truth.”

False stories, the researchers found, are 70 percent more likely to be retweeted, and truth takes six times longer to reach an audience of 1,500 users.

The reason is what the researchers call the “novelty hypothesis,” which suggests that people are more likely to share sensational or surprising content, even when it is untrue. And now, the rapid rise of Artificial Intelligence is making that problem exponentially worse.

AI: A new engine for misinformation

“AI driven misinformation refers to false or misleading content that is created, enhanced, or disseminated with the help of artificial intelligence,” said Dr. Jae Ha, professor at UIS and instructor of COM 261: Fake News and Fact Checking.

He warns that the danger lies in both scale and speed.

“Deepfake videos and AI generated news articles can now mimic credible reporting. What makes this trend particularly concerning is the speed and ease with which AI can produce content that appears authentic.”

Not long ago, creating believable lies required expertise or money. Today, anyone can generate fake quotes, fabricated images, or video footage that looks real, all in a matter of seconds.

Algorithms that reward outrage

A University of Southern California study showed that frequent social media users share six times more fake news than casual users.

But this is not only due to users being misled.

Platforms are designed to reward:

• clicks
• shares
• emotional reactions

That means misinformation now has a built-in advantage, not because it is true, but because it is engaging.

Who is responsible?

According to Dr. Ha:

“Responsibility must be shared.”

He says three groups must take action:

Technology companies must build stronger safeguards and more transparency
Governments must create policies and accountability systems
Users must think more critically about what they share

One solution remains especially powerful.

“Education is key. In my course, I help students build media literacy and develop critical thinking skills to navigate an information ecosystem shaped by misinformation.”

Next five years

AI driven misinformation could push trust to a breaking point.

“Public trust in online information is already fragile,” Dr. Ha said. “The credibility crisis demands renewed commitment to responsible journalism and robust fact checking.”

Dr. Ha believes AI will eventually be used to fight AI, with automated systems verifying content as quickly as it is created. But he also cautions that technology alone is not enough.

“The most meaningful change will come from people becoming more media literate, more discerning, and more skeptical of what they encounter online.”

Not just a technical problem, but a cultural one

Misinformation spreads because we reward speed, emotion, and novelty instead of accuracy.

AI has made falsehoods easier to create and harder to detect. But the greatest defense is not an algorithm. It is an informed public.

The ability to pause, to verify, and to think critically will determine whether truth can survive in an age built around speed and automation.