Skip to content
Search

Latest Stories

Top Stories

This elections season, let’s not repeat the same news literacy mistakes

Opinion

reading the news

"News literacy is the ability to identify what information you can trust, share, and act on to become a better-informed and more engaged participant in the civic life of your community and our country," writes Silva.

oatawa/Getty Images

Silva is senior director of professional and community learning at the News Literacy Project. He is a former classroom teacher.

In the weeks following the 2020 presidential election, many of us watched from the sidelines as misinformation from political figures, social media feeds, podcasts and pundits stoked anger and suspicion that someone had tampered with ballots and voting machines. These false beliefs about a “stolen election” took root, spread and grew into a movement that led to the Jan. 6, 2021, insurrection at the Capitol. Despite overwhelming, verifiable evidence to the contrary, those beliefs persist today.

With another presidential contest likely featuring the same two candidates, it’s hardly surprising that election rumors and misinformation already are spreading, with former President Donald Trump urging crowds to “guard the vote” at polling places in Philadelphia, Detroit and Atlanta.

Ahead of the elections and during National News Literacy Week, we can each take important steps to ensure our emotions and beliefs are not being manipulated by misinformation. If we are aware of and practice news literacy skills, we can ensure our information is credible and comes from reputable sources. By doing so, we can take action to avoid a repeat of Jan. 6.


News literacy is the ability to identify what information you can trust, share, and act on to become a better-informed and more engaged participant in the civic life of your community and our country. It teaches you how to navigate our challenging and complex information landscape, helping you learn how to think about the information you consume, not what to think about it. News literacy gives you the tools and skills to evaluate the credibility of news and other information and determine the quality and reliability of what you consume. It also explores the processes and standards that journalists follow to report the news as fairly and accurately as possible.

News is meant to inform you; credible, standards-based news does not take a stance on issues. It gives you the who, what, when, where and why and provides that information from multiple, credible sources with an emphasis on fairness and accuracy. Unfortunately, a great deal of information out there might look like news but, instead, is meant to persuade or influence you, such as punditry. Opinion journalism should follow ethical standards, like providing evidence for claims, presenting logical arguments and frequently acknowledging conflicting views. Opinion pieces that cherry-pick data, leave out important context or use logical fallacies are not quality journalism — they are misleading and unfair.

No one wants to be misled. To make sure the news we are getting shows the full story, consider the following:

  • Does the story include multiple sources or experts who can provide the relevant details about what took place?
  • When possible, are there links to related reports, studies, data, video or audio that can add context?
  • Is the story reported fully, including all key information, and with the proper context to provide a clear understanding?
  • Have the details in the story been fact-checked and verified?
  • Are multiple sides of the issue reported to ensure fairness without giving undue weight to one side or the other?
  • Was the piece reported in a dispassionate manner that avoids bias?
  • Is the newsroom transparent about past errors, and does it note corrections on its stories?

All of these are essential factors to consider before acting on information.

Differences of opinion are valuable and essential to the marketplace of ideas (which the Free Speech Center at Middle Tennessee State University says, “refers to the belief that the test of the truth or acceptance of ideas depends on their competition with one another and not on the opinion of a censor.”) But truth is supported by facts, and facts are supported by evidence.

Ordinary voters can’t control what politicians and pundits say, but we don’t have to subject ourselves to another election cycle marred by misinformation meant to confuse and anger us. We can use news literacy skills to find credible information and discern facts from fiction. We can push back on falsehoods and fake claims. With news literacy, we can reclaim our power to determine the truth.


Read More

Woman sitting and typing on laptop on her lap.

AI chatbots are always guessing, even when they sound sure. Experts and Claude itself explain the AI trust gap, bias and why to check sources.

Oscar Wong/Getty Images

AI’s Information Crisis: Why Trust Is Harder to Sustain Than Ever

In all the debates about human and machine intelligence, one thing has become clear: We humans love to talk about AI. We’ve speculated whether AI will create or eliminate jobs, revolutionize or destroy science, comfort or torment us, entertain us brilliantly or rot our brains, or some combination of all these things. But amid the noise, we may have paid too little attention to a subtler impact: how AI is disrupting our relationship to information and making it harder to know what to believe.

The problem isn’t just deepfakes, the malicious manipulation of images, video, and audio. Even benign, well-intentioned AI applications can be profoundly misleading. The nature of the large language models that power chatbots means that they are always guessing, however confident they seem. How can we use AI to produce reliable information that improves public discourse rather than distorting it?

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.

Universal basic income would cost trillions. Wage insurance, a bigger child tax credit, and a tax break for work could help workers left behind by AI at a fraction of the price.

Andriy Onufriyenko / Getty Images

AI’s Costs: The Human Element & the Response

The age of AI will be a revolutionary age. In medicine, engineering, and more, there is the possibility of great benefit to humanity. Consider some Wall Street Journal headlines: “The Quest to Use AI to Help Find New Drugs,” and “Fusion Startup Gets an AI Boost.” Already, AI is a substantial portion of GDP growth.

Yet a rising tide will not lift the boats with holes in their hulls, as Jack Kemp once said. Artificial intelligence is challenging our leaders to think about those possibly left behind. Within the AI community itself, Anthropic CEO Dario Amodei expresses concern that we could see 5-10% GDP growth with 10% unemployment.

Keep ReadingShow less
An illustration of a block with the words, "AI," on it, surrounded by slightly smaller caution signs.

Efficient AI may not mean less energy. The Jevons paradox shows why demand can grow, and why no one can say yet where AI’s real limits will be.

Getty Images, J Studios

The People Selling You the Future Don’t Know It Either

Artificial Intelligence is everywhere and can no longer be avoided. Will there ever be a ceiling for the expansion of this technology? AI companies are not just selling software. The story about the inevitability that AI will have in transforming work, education, medicine, art, government, and daily life is much more profitable. People must accept the transformation or be left behind. They are selling behind a mask of certainty.

The court of public opinion on AI has concluded that this technology is too energy-consuming for the benefits it allegedly brings and the ways many people use it. Therefore, companies have shifted their agendas to presenting efficiency as a solution to the technology’s enormous need for power. Smaller, better models and chips, and more efficient data centers may reduce the energy required for a single text-based request or generated image. If those improvements make AI cheaper to use, it will be invited into more daily life right?

Keep ReadingShow less
AI chip
a computer chip with the letter a on top of it
Photo by Igor Omilaev on Unsplash

We Should Regulate AI to Make It Grow Faster

The debate over artificial intelligence has become divided between two powerful ideas: that we need a “moratorium” to slow AI until we can make it safe, and that regulating AI will slow the innovation we need for our economy and national security. Both concerns are legitimate. But “moratorium” and “slowing AI growth” are divisive terms: they reassure those concerned about AI's safety, economic and environmental consequences while alarming those who see AI competition and national security as urgent priorities. We need a different starting point—meaningful regulation that provides the safeguards necessary to protect people, communities and the environment while creating the conditions for AI to continue growing. The experiences of Europe and China challenge the assumption that regulation must slow AI.

China has combined increasingly detailed, technology-specific AI regulation with substantial government support for AI development. Recent studies provide evidence that this approach can promote innovation. One 2026 study of Chinese companies from 2017 through 2023 found that the creation of national AI innovation and development pilot zones significantly increased corporate digital transformation, in part through increased research and development, human capital and reduced transition costs. Another 2026 study, covering Chinese manufacturing companies from 2014 through 2024, found that the same policy significantly promoted the adoption of intelligent technologies.

Keep ReadingShow less