Skip to content
Search

Latest Stories

Top Stories

Verifying facts in the age of AI – librarians offer 5 strategies

Woman looking at  a computer

The internet is awash in fake news articles and misinformation.

franz12/Getty Images

Bicknell-Holmes is a library professor at Boise State University. Watson is a librarian and associate professor at Boise State University. Cordova is a library associate professor at Boise State University

The phenomenal growth in artificial intelligence tools has made it easy to create a story quickly, complicating a reader’s ability to determine if a news source or article is truthful or reliable. For instance, earlier this year, people were sharing an article about the supposed suicide of Israeli Prime Minister Benjamin Netanyahu’s psychiatrist as if it were real. It ended up being an AI-generated rewrite of a satirical piece from 2010.

The problem is widespread. According to a 2021 Pearson Institute/AP-NORC poll, “Ninety-five percent of Americans believe the spread of misinformation is a problem.” The Pearson Institute researches methods to reduce global conflicts.


As library scientists, we combat the increase in misinformation by teaching a number of ways to validate the accuracy of an article. These methods include the SIFT Method (Stop, Investigate, Find, Trace), the P.R.O.V.E.N. Source Evaluation method (Purpose, Relevance, Objectivity, Verifiability, Expertise and Newness), and lateral reading.

Lateral reading is a strategy for investigating a source by opening a new browser tab to conduct a search and consult other sources. Lateral reading involves cross-checking the information by researching the source rather than scrolling down the page.

Here are five techniques based on these methods to help readers determine news facts from fiction:

1. Research the author or organization

Search for information beyond the entity’s own website. What are others saying about it? Are there any red flags that lead you to question its credibility? Search the entity’s name in quotation marks in your browser and look for sources that critically review the organization or group. An organization’s “About” page might tell you who is on their board, their mission and their nonprofit status, but this information is typically written to present the organization in a positive light.

The P.R.O.V.E.N. Source Evaluation method includes a section called “Expertise,” which recommends that readers check the author’s credentials and affiliations. Do the authors have advanced degrees or expertise related to the topic? What else have they written? Who funds the organization and what are their affiliations? Do any of these affiliations reveal a potential conflict of interest? Might their writings be biased in favor of one particular viewpoint?

If any of this information is missing or questionable, you may want to stay away from this author or organization.

2. Use good search techniques

Become familiar with search techniques available in your favorite web browser, such as searching keywords rather than full sentences and limiting searches by domain names, such as .org, .gov, or .edu.

Another good technique is putting two or more words in quotation marks so the search engine finds the words next to each other in that order, such as “ Pizzagate conspiracy.” This leads to more relevant results.

In an article published in Nature, a team of researchers wrote that “77% of search queries that used the headline or URL of a false/misleading article as a search query return at least one unreliable news link among the top ten results.”

A more effective search would be to identify the key concepts in the headline in question and search those individual words as keywords. For example, if the headline is “Video Showing Alien at Miami Mall Sparks Claims of Invasion,” readers could search: “Alien invasion” Miami mall.

3. Verify the source

Verify the original sources of the information. Was the information cited, paraphrased or quoted accurately? Can you find the same facts or statements in the original source? Purdue Global, Purdue University’s online university for working adults, recommends verifying citations and references that can also apply to news stories by checking that the sources are “easy to find, easy to access, and not outdated.” It also recommends checking the original studies or data cited for accuracy.

The SIFT Method echoes this in its recommendation to “trace claims, quotes, and media to the original context.” You cannot assume that re-reporting is always accurate.

4. Use fact-checking websites

Search fact-checking websites such as InfluenceWatch.org, Poynter.org, Politifact.com or Snopes.com to verify claims. What conclusions did the fact-checkers reach about the accuracy of the claims?

A Harvard Kennedy School Misinformation Review article found that the “high level of agreement” between fact-checking sites “ enhances the credibility of fact checkers in the eyes of the public.”

5. Pause and reflect

Pause and reflect to see if what you have read has triggered a strong emotional response. An article in the journal Cognitive Research indicates that news items that cause strong emotions increase our tendency “to believe fake news stories.”

One online study found that the simple act of “pausing to think” and reflect on whether a headline is true or false may prevent a person from sharing false information. While the study indicated that pausing only decreases intentions to share by a small amount – 0.32 points on a 6-point scale – the authors argue that this could nonetheless cut down on the spread of fake news on social media.

Knowing how to identify and check for misinformation is an important part of being a responsible digital citizen. This skill is all the more important as AI becomes more prevalent. The Conversation

This article is republished from The Conversation under a Creative Commons license. Read the original article.


Read More

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
person reading a computer screen
man using computer inside room

Student-Led AI Initiative Aims to Tackle Misinformation

PRINCETON JUNCTION, NJ — As generative artificial intelligence reshapes the digital landscape, a New Jersey student researcher is using the technology to combat media bias. Shaurya Jindal, an AI researcher and student at West Windsor-Plainsboro High School South, has launched Cogito News, an educational platform designed to build modern media literacy skills.

Cogito News was founded in response to growing concerns about partisan framing and selective sourcing in contemporary journalism. Recognizing that cognitive biases often influence how news is packaged and consumed, Jindal sought to build a tool that helps users critically evaluate the information they encounter daily. The platform's real-world impact and timely relevance were highlighted when Jindal was my guest on The Fulcrum Democracy Forum, an interview series dedicated to civic renewal and examining innovative approaches to strengthening democratic systems.

Keep ReadingShow less
An aerial view of a Flock camera

An aerial view of a Flock camera in Burbank, California. U.S. President Donald Trump expressed support for Flock cameras, saying he likes the AI-powered surveillance technology because of its use by law enforcement, despite concerns that it infringes on privacy.

(Photo by Justin Sullivan/Getty Images)

Flock Cameras Are Coming Down – but We Need More To Dismantle the Surveillance State

Chances are, you’ve seen one in your neighborhood. Flock cameras have become a major flashpoint for voters in the leadup to the midterms. The concept sounds straight out of 1984 — a network of government-owned cameras that track your movements — it’s no wonder that Americans across party lines are demanding their states and towns sever ties with the controversial company. Surveillance fears are only getting stronger as we enter the AI era.

But the problem isn’t just Flock. These cameras, Automated License Plate Readers or ALPRs to be exact, are a symptom of a larger “surveil first, ask questions later” attitude that has been adopted by local and federal government for decades. In recent years, the federal government has been dramatically expanding the nation’s surveillance infrastructure. This has taken many forms, from facial recognition technology at the airport, to law enforcement monitoring your mail, to the government watching what you’re posting on your personal social media pages. Since April, many Democrats and Republicans in Congress have united to stop what would effectively be a blank check for surveillance via FISA reauthorization, demanding surveillance reforms such as closing the “data broker loophole”, which allows the government to buy Americans’ personal data without a warrant.

Keep ReadingShow less