Skip to content
Search

Latest Stories

Follow Us:
Top Stories

Fighting the Liar’s Dividend: A Toolkit for Truth in the Digital Age

Opinion

Fighting the Liar’s Dividend: A Toolkit for Truth in the Digital Age

In 2023, the RAND Corporation released a study on a phenomenon known as "Truth Decay," where facts become blurred with opinion and spin. But now, people are beginning to doubt everything, including authentic material.

Getty Images, VioletaStoimenova

The Stakes: When Nothing Can Be Trusted

Two weeks before the 2024 election, a fake robocall mimicking President Biden's voice urged voters to skip the New Hampshire primary. According to AP News, it was an instance of AI-enabled election interference. Within hours, thousands had shared it. Each fake like this erodes confidence in the very possibility of knowing what is real.

The RAND Corporation refers to this phenomenon as "Truth Decay," where facts become blurred with opinion and spin. Its 2023 research warns that Truth Decay threatens U.S. national security by weakening military readiness and eroding credibility with allies. But the deeper crisis isn't that people believe every fake—it's that they doubt everything, including authentic material.


What's Really Dividing Us: The Liar's Dividend

Here's what we're missing in the AI deepfake debate: researchers found that "cheap fakes"—misleading cuts, mislabeled clips, or altered speed—were used seven times more often than AI deepfakes in 2024. AI's real danger is the "liar's dividend": the erosion of confidence that any evidence can be trusted.

This loss of shared reality fractures society; climate action stalls when manufactured doubt overwhelms the scientific consensus. Democratic institutions weaken when citizens question basic election facts. Public health suffers when misinformation spreads faster than accurate guidance. Kathleen Hall Jamieson, director of the Annenberg Public Policy Center and co-founder of FactCheck.org, warns that what's at stake is not only accuracy but the very idea that facts matter.

The Psychology Behind Our Vulnerability

Why are we so susceptible? As Daniel Kahneman explained in Thinking, Fast and Slow, our brains default to "System 1" thinking—fast, instinctive, and emotional. This is precisely what disinformation targets. AI-driven lies are designed to trigger immediate emotional reactions —fear, anger, outrage —that bypass our slower, more careful "System 2" thinking. When we're in System 1 mode, we share first and verify later, if at all.

Most of us don't have time for the careful verification that democracy requires. We're sun-dazed and expensively caffeinated, as one democracy researcher puts it, insulated by privilege from the immediate consequences of misinformation—until, suddenly, we're not.

The Verification Toolkit: Four Moves That Work

Digital literacy expert Mike Caulfield developed the SIFT method that anyone can use:

  • Stop before sharing
  • Investigate who is behind the information
  • Find better coverage
  • Trace claims to their origin

Professional fact-checkers practice lateral reading—opening multiple tabs to see what other outlets say about a claim. Tools like AllSides and Ground News help break echo chambers by showing how stories are covered across the political spectrum.

Browser extensions and bias-rating sites such as NewsGuard, Media Bias/Fact Check, and emerging provenance standards like C2PA that aim to certify media authenticity provide additional context.

Beyond Tools: Mental Hygiene for the Digital Age

But technical solutions aren't enough. We need better practices to address the emotional impacts of information overload:

Time-boxing media consumption—checking news at set intervals rather than continuously prevents artificial urgency while improving comprehension.

Diversifying inputs—reading across disciplines, listening to long-form debates such as those at Open to Debate, and seeking perspectives that challenge assumptions.

The 24-hour rule—giving claims time before reacting or sharing prevents emotional manipulation.

Living with uncertainty—perfect information is impossible, but reasonable decisions can still be made with incomplete data. The American Psychological Association documents how unfiltered media exposure contributes to stress and decision fatigue.

Individual and Institutional Responsibility

Cynics argue that personal verification is futile against industrial-scale disinformation. They're half-right—individuals can't solve this alone. But individual action still creates collective defenses when combined with institutional responsibility.

Democracy requires both. Individuals must take responsibility for thoughtful engagement with information, especially when the stakes are high or before sharing widely. Institutions, schools, newsrooms, agencies, and workplaces must treat the risk of misinformation with the same seriousness as cybersecurity.

Communities with strong media literacy programs and diverse information diets tend to be more resistant to manipulation. We need to cultivate a culture where truth-seeking is valued and where we collectively reject the amplification of blatant falsehoods.

The tools exist. The question is whether we'll use them when democracy needs us to.

Democracy requires citizens who can navigate complexity, not retreat from it. Protecting information integrity is now as essential to the survival of democracy as safeguarding elections themselves.

What's Next: Three Immediate Actions

  1. For individuals: Use fact-checking sites (AllSides, Ground News, NewsGuard), practice the SIFT method, try lateral reading, and adopt the mental hygiene solutions—time-boxing news, the 24-hour rule, and living with uncertainty.
  2. For institutions: Implement media literacy programs with the same rigor as cybersecurity training.
  3. For communities: Support local journalism and fact-checking initiatives that serve as shared information infrastructure.

The stakes couldn't be higher. In an age when anyone can manufacture convincing lies, our democracy depends on citizens who choose the harder path of verification over the easier path of confirmation bias.

Edward Saltzberg is the Executive Director of the Security and Sustainability Forum, writes the Stability Brief, and leads a professional education program at George Washington University.


Read More

Vote Badge with Rising Social Media Like Icons and Hearts – Digital Engagement and Online Voting
J Studios / Getty Images

Democratic Autopsy and AI

After every defeat, organizations conduct autopsies. The good ones are honest, like NASA’s Rogers Commission report after the Space Shuttle Challenger exploded shortly after takeoff. In addition to identifying the infamous O-rings as the proximal culprit, it looked at organizational culture, communication failures, normalization of risk, management pressures, and institutional blind spots. The best ones are uncomfortable, and make a serious effort to understand “why did we mess this up so badly?” I’ve personally seen both good “autopsies” and bad ones throughout my decades of experience in true life-or-death realms: the SEAL Teams and as an Emergency Medicine physician.

Following the 2024 election, the Democratic National Committee produced a lengthy report titled Build to Win. Build to Last. Yet it is not a serious document because it does nothing to prepare for the unstoppable and very near future staring us right in the face. It is nearly 200 pages long and attempts to explain what went wrong and how the party should prepare for the future. It discusses organizing, communications, coalition building, fundraising, digital strategy, and voter outreach. It is filled with references to data, analytics, and technology.

Keep ReadingShow less
My Generation Can Spot the Deepfake. That’s Not Enough.
Smartphone with ai text in jeans pocket
Photo by Immo Wegmann on Unsplash

My Generation Can Spot the Deepfake. That’s Not Enough.

Thomas Massie, a seven-term Republican congressman from Kentucky, lost his primary on May 19. The race cost $32.6 million, making it the most expensive congressional primary in U.S. history. Among the weapons deployed against him: an AI-generated video showing him checking into a hotel room with Representatives Alexandria Ocasio-Cortez and Ilhan Omar, with their hands clasped. The narrator called it "worse than adultery." A disclaimer at the bottom of the screen, in small text, read: "This satirical ad was created with artificial intelligence."

I watched the ad. It looks ridiculous. The movements are slightly too smooth, the lighting is off, and the scenario is so cartoonish that I genuinely could not tell at first whether it was meant to be taken seriously. But I'm 17, and I've spent the last four years watching AI-generated content get better in real time. I know what the seams look like. Massie, in his post-loss interview on Meet the Press, was blunt about who the ad actually reached: "It was actually very effective on the boomers."

Keep ReadingShow less
An illustration with the words, "AI," in the middle - Icons on a computer, robot, lock, and a car are around

AI is unpopular yet widely used. Explore how citizen-led “crackpot schemes” could shape AI policy, protect jobs, strengthen democracy, and maximize AI’s benefits while reducing its risks.

Andriy Onufriyenko / Getty Images

In Defense of “Crackpot Schemes” for AI Governance

AI is unpopular. And nearly a billion people use ChatGPT.

AI is destroying jobs. And fields predicted to have been eliminated by AI, like radiology, continue to grow and leverage the technology to improve their work.

Keep ReadingShow less
Digital illustration of robot's hand holding and supporting man who is working on his desk using computer, represent themes of artificial intelligence (AI), the future of work, and the intersection of humanity and technology.

A critique of Steven Rosenbaum's The Future of Truth and the irony of AI-generated errors in a book warning about AI, truth, trust, and democratic responsibility.

Andriy Onufriyenko / Getty Images

On Truth, Shame, and the Abuse of AI

A democracy is only as robust and vibrant as the citizens who sustain it. Self-government depends upon people willing to deliberate honestly, reason carefully, and exercise judgment responsibly. With the emergence of AI, this obligation becomes even more consequential because these powerful systems can either deepen human agency or quietly erode it. They can either help citizens think more clearly and participate more meaningfully, or they can encourage the outsourcing of judgment itself and the slow substitution of synthetic plausibility for human responsibility.

Imagine, then, publishing a book warning humanity about the epistemological collapse supposedly ushered in by artificial intelligence. Imagine assembling endorsements from solemn guardians of the humanities, critics of automation, custodians of truth, defenders of interpretation against probabilistic sludge. Imagine presenting yourself as a kind of intellectual fire marshal standing before a burning building, yelling that people must immediately stop playing with matches.

Keep ReadingShow less