23 Recent Articles about AI Fakes & Deepfakes

What Journalists Should Know About Deepfake Detection in 2025 – Columbia Journalism Review

Sony Music says over 75,000 songs in battle against AI deepfakes – Gizmodo 

‘Hi mom, it’s me’: voice cloning services demand stronger voice deepfake detection – BioMetricUpdate

Dark Side of GenAI: Ethical Dilemmas Threatening Our Future – Analytics Insight  

AI Search Has A Citation Problem – Columbia Journalism Review 

Celine Dion warns fans to beware of fake, AI-generated songs appearing online – CNN

YouTubers are being scammed with AI-generated deepfake videos – PC World

AI can steal your voice, and there's not much you can do about it – NBC News

Deepfakes, cash and crypto: how call centre scammers duped 6,000 people – The Guardian

I was so freaked out by talking to this AI that I had to leave – PC World

Chinese AI Video Generators Unleash a Flood of New Nonconsensual Porn – 404 Media

AI detectors are poor western blot classifiers: a study of accuracy and predictive values – PeerJ

Fake Video of Trump and Musk Appears on TVs at Housing Agency – New York Times

A ‘True Crime’ Documentary Series Has Millions of Views. The Murders Are All AI-Generated – 404 Media

Scarlett Johansson warns of 'AI misuse' after fake Kanye video – BBC

AI Slop of Musk and Trump on TikTok Racks Up 700 Million Views – 404 Media

Schools face a new threat: "nudify" sites that use AI to create realistic, revealing images of classmates – CBS News

AI enters Congress: Sexually explicit deepfakes target women lawmakers – 19th News

AI nude photo investigation uncovers twice as many likely victims at Lancaster Country Day – WGAL  

Deepfakes didn’t disrupt the election, but they’re changing our relationship with reality – The Hill

Scarlett Johansson Slams AI Video of Celebrities Fighting Kanye West’s Antisemitism: ‘We Must Call Out the Misuse of AI, No Matter Its Messaging’ – Variety

How to Tell If Your Job Candidate Is an AI Deepfake – INC

Judge fines lawyers in Walmart lawsuit over fake, AI-generated cases – Reuters

4 Fake News Signals from Outside the Website

Here are some tips for determining if a story is likely reliable. An organization does not need to tick off all these qualifiers in order to be considered authentic and accurate, but the more you see red flags pop up, the more a healthy skepticism is in order.

69. YOUR COMMUNITY. There’s no substitute for knowing people who are well-informed and will let you know when you’ve posted something questionable. These are people you can ask when you have your doubts. Don’t know any experts or researchers, or information junkies from various fields who are critical and helpful? Make some new friends! Developing such a support system is critical for navigating effectively through life. Read some books written by experts. 

70. FACT-CHECKING SITES. Does a fact-checking site identify the assertion of the article as a hoax? Check one of the sites listed at the end of this article or type the article’s topic into a search engine and add “hoax” or “fake.”  

71. THE OTHER SIDE. Take time to check sites that do not agree with your politics. If you discover they are wrong and perhaps not addressing the best arguments of your side, it is a confirmation you are on the right side of an issue. Or maybe you will discover a weakness in your own reasoning you haven’t considered. Either way,  you'll know what other people are consuming, sharpening your thinking.

72. GOOGLING THE TOPIC. If you do a Google search for a topic, remember that reliable researchers do not write material answering questions like “Did the Holocaust exist?” Instead of decent sources, this type of search will bring up conspiracy theorists. Don’t be misled by a search that frames issues as secret plots and nefarious schemes.

 More ways to spot fake news

12 Fake News Signals from the Publisher

Here are some tips for determining if a story is likely reliable. An organization does not need to tick off all these qualifiers in order to be considered authentic and accurate, but the more you see red flags pop up, the more a healthy skepticism is in order.

57. REPUTATION. Is the writer’s reputation at stake if they are wrong? Does the organization risk losing reputation or losing finances if it becomes known for having promoted false news? 

58. RELIABILITY. Has the organization been reliable in the past? Have you read other information from the organization confirmed to be accurate?

59. AMATEURISH. Data collected by an amateur is more error-prone than data collected by a professional scientist. Does a quick web search confirm whether the people who collected and organized the data have a good track record of collecting and distributing data?  

60. RESPONSE TO CRITICS. Does the publisher respond publicly to its critics when there are reasonable questions? Does it acknowledge when the critics have a point? 

61. DATA SOURCES. Look closely at the sources of data the publisher uses: is this material provided by for-profit companies, partisan organizations, or advocacy groups? While the material may be accurate, data from groups with agendas require greater scrutiny than data from nonpartisan organizations. 

62. PAYING THE WRITERS. Content Farms (or Content Mills, if you like) pay very little in return for lots of writing. When news writers are focused on cranking out material to feed the beast, the quality of the work suffers. If you discover a site is considered a Content Farm by professionals or pays writers very little for their work, that’s a big red flag. 

63. DIVERSE VOICES. Does the news organization offer diverse perspectives in its articles? A professional outlet will make a concerted effort to give voice to various ethnicities and political persuasions. The more a newsroom focuses on a single viewpoint, the greater the likelihood it will leave out significant perspectives from its news converge.

64. FEEDBACK. Reputable news publishers want readers’ feedback on stories for accuracy and look for help in determining coverage priorities.  

65. AGREEMENT. Do you find yourself agreeing with everything your preferred news outlet says? If so, something is wrong. Find a commentator whose politics don’t match with your own—vary your media consumption to get a balance of perspectives. 

66. EASY STORIES. Suppose a news outlet overlooks stories worth telling in favor of the stories that can be easily told. In that case, it may not have the resources to dive into investigative reporting or may not have the goal of getting beyond the low-hanging fruit.

67. ANONYMOUS SOURCES. Legitimate news outlets will only reference unnamed sources that would endanger them physically or put them in legal jeopardy. Overreliance on anonymous sources should be a red flag to be skeptical of the information, even if it comes from an otherwise trustworthy site.   

68. FRAMEWORK. Some sites have a framework for all their stories (like the College Fix, which is focused on college campus outrage). Articles on these sites may leave out moderating information, so stories lean toward the framework.

 More ways to spot fake news

23 Fake News Signals from the Writing

Here are some tips for determining if a story is likely reliable. An organization does not need to tick off all these qualifiers in order to be considered authentic and accurate, but the more you see red flags pop up, the more a healthy skepticism is in order.

You’ll notice these are “tips” and not a checklist. Checklists can oversimply the nuances of discernment into black-and-white boxes.

1. ORIGINAL REPORTING. Does this article cite sources likely to know this information? Does the news organization have reporters attending news conferences in person, working in cities where the news is happening, and talking to key sources directly? Or does the organization have to rely on second-hand information from other sites?

2. LONE-WOLF REPORTING. Compare the information with other sites you trust. Are these sites reporting the same information? The site might have a scoop, but a lack of multiple independent accounts means it is more likely that the story is false. Sometimes lack of coverage is the result from writer and producer bias within a company or the result of the particular focus of the outlet (which may include not offending certain sponsors or other companies owned by the same parent company). Typically, you should expect more than one source reporting on an important topic or event. Plus, it’s always best to read multiple sources of information to get various viewpoints and media frames.

3. AP STYLE. Most legitimate news organizations will use the AP Stylebook as a writing guide (no Oxford comma, full name on the first reference and only last name thereafter, etc.). Some organizations have developed their own style guides (New York Times, Wall Street Journal, etc.). Most news organizations use an in-house style guide (to deal with writing issues unique to the publication’s area of reporting).   

4. POOR GRAMMAR. When a writer makes obvious grammatical mistakes, they also may not have taken the time to ensure the article’s facts are accurate. 

5. ADJECTIVES & ADVERBS. Objective journalism avoids adjectives and adverbs. The more of them used in an article, the more you should question whether the writer’s goal is to inform you or to convince you of something.

6. BALANCE. Did the writer engage with anyone who disagreed with the gist of the article? Quality news organizations are looking for both sides—and sometimes, there are more sides than that. 

7. EXPERTS. Does the article quote not only more than one side in a dispute but experts as well? A he-said-she-said story without experts’ opinions in the field is weak reporting. When there’s only a single source for a news article, be hesitant to accept the information without further corroboration.

8. OBJECTIVE. Like the scientist aiming to discover the truth, having some bias does not mean a journalist cannot arrive at the truth through a tested and effective approach (as does the scientific method, despite the researcher’s bias). The complaint that “no one can really be objective” misses the point that it’s not the journalists themselves but the articles that need to be neutral. While bias websites can still post real news, carefully look at the specific evidence, they offer and see if reporting from other legit sites backs it up.

9. OPINION. Is the article part of an opinion section? Does the video feature a commentator? Commentary has a long history of having a part inside the pages of newspapers, but many readers confuse an editorial article with news reporting. The same can happen online or on TV news. There’s no need for an opinion piece to be neutral in its presentation. Just don’t confuse it with an unbiased news piece.           

10. GENERIC ENEMIES. Does the article focus on vague foes who are never specified? “The media,” “supporters of (insert name of politician),” “The right,” “The left,” “Washington,” etc. Good reporting doesn't make these kinds of generalizations.

11. DOXING. Doxing is making private information public in order to hurt a person or organization. If the writer suggests anything like doxing, run the other way.

12. EMBEDDED LINKS. Quality journalism values clarity over style. Links in the article to original source material show a commitment to transparency and allow readers to make up their own minds about its use. Sometimes bogus stories will cite official or official-sounding sources and even link back to them that do not back up the claims in the article. An article without links or quotes from identified sources should be suspect.

13. SPONSORED CONTENT. Some legit news organizations publish articles similar to what they usually publish as real news—only, in this case, an advertiser actually sponsors the material. The intention could be to provide legitimate information about a subject while at the same time promoting the advertiser's product. Sometimes referred to as native advertising, reputable publishers will identify the article as “sponsored content” or “paid partner content” in a prominent location. A precursor to sponsored content was advertorials—a combination of advertising and editorial opinion. These placements were ads disguised as editorial content. 

14. LOCAL REPORTING. If the story involved a particular locale, was local expertise included? Was the reporting conducted on the scene?

15. YOUR REACTION. Be sensitive to occasions when you become angry as you read an article. If you are outraged after reading something, the story may be written to manipulate your emotions. The more shocking and outrageous, the more work is necessary to confirm the information before passing it along.

16. PARTISAN APPEAL. If a story sounds big but appears only on hyperpartisan sites and seems designed for outrage, it could have significant flaws that stopped legitimate news outlets from covering it.

17. FIRSTHAND SOURCES. Use an article’s information to work back to original sources to verify what’s in the article. If the report references a lawsuit, it can often be found online through a Google search or third party like Scribd, CourtListener, or DocumentCloud. Or, if the article references something a company is doing, check that company’s website (or a government agency) to see if there is a news release about that topic or an announcement on a site like PR Newswire.    

18. MULTIPLE SOURCES. Use keywords from the article (unique terms such as someone’s name) that are likely to bring up the same topic from another source using Google News search. The information from each story can be compared. It is unusual for a single outlet to have exclusive information, especially after several days have passed since the article was posted. To avoid generic, unhelpful search results, use unique keywords in your search—like the name of an unfamous person who’s quoted in the story. 

19. TANTALIZING QUOTES. Search for a questionable quote by pasting the text (in quotation marks) into a search engine. If the exact phrasing doesn’t come up or if only a few small outlets have printed the outrageous quote (perhaps from a famous person or politician), then be skeptical about its authenticity. Look for the sentences before and after the quote that makes your blood boil. If the article fails to give them, that could be a warning sign. If the quote is taken out of context, the site (or writer) belongs on your naughty list.

20. SOCIAL MOVEMENTS. A social movement or political uproar can be manufactured artificially. Look for evidence that the people behind a petition or boycott are real people and the effort is organic. Social media posts shouldn’t come from obscure users or bots. There’s a difference between a few snarky tweets and an actual public outcry.

21. THE WRITERS CREDENTIALS. Does the writer possess specialized knowledge in an area, either advanced education or experience covering a particular beat? This is especially important for opinion pieces. A list of qualifications in a writer’s bio should inform the audience as to their expertise. If they are not knowledgeable about the topic, they rely on other sources. An article without quotes or information from experts raises red flags, especially if creators present themselves as experts when they’re actually enthusiasts. 

22. ODD WORDING. AI-created text lacks the ability to write in a way that sounds natural—for now. When word choices or sentence structures are odd, it could be the product of a computer. The same is true with repeatedly using the same words and phrases or writing that lacks emotion. These are signs of machine-generated text.

OpenAI’s GPT-2 Detector is a tool that help to identify whether text is likely AI generated. While AI writing tools are not useful for reliable scientific texts without strong human intervention, it is likely predatory journals will exploit the quick production of scientific articles to generate low-quality content.

23. IMPROBABLE PRECISION. It’s a red flag when someone claims, "I drove from Chicago to Miami in 1.5847 hours." That kind of precision is unlikely.

More about spotting fake news

What Fake News is NOT

Some people will mislabel rumors, hoaxes, and real news stories they don’t like as “fake news.” Another area of confusion is stories that result from mistaken or bad journalism.  

Sometimes well-respected news organizations get it wrong: sources can lie, documents can be faked, and reporters can mishear quotes. Sometimes new information changes the basic understanding of what is known publicly. You wouldn’t call this fake news since the motivation for posting the original (but mistaken) information wasn’t to deceive. What can make the situation worse: is the financial pressure of shifting away from legacy media (like newspapers) into the digital world, leaving the news industry scrambling to figure out how to support quality journalism financially. 

Between the pressure to meet social media engagement quotas and competition with other publications, writers often don’t get the necessary time to craft thoughtful and nuanced stories—or possess the power to reject an assignment over concerns about amplification.

Inaccurate details, such as reporting that four people are dead in a plane crash instead of six, can result from an honest mistake. The wrong number might have been heard or written down.

During breaking news, information will quickly shift as bits trickle into news organizations. It takes time to get a clear overall picture of what’s happening. Sometimes law enforcement officials or public relations professionals get the story wrong and send inaccurate information. At those times, news organizations are simply repeating mistakes. This is most likely to happen when only one source of information available whenever a story breaks.

Legitimate news sources will report the truth—as best they know it at the time. But as new information comes in, the story can shift. Just like with scientific research, this meandering pathway is just part of the process of getting to the truth.

It’s worth noting that the approach of legacy news organizations (The Washington Post, CNN) differs from new media outlets (BuzzFeed News, Politico). Traditional outlets aim at objectivity or neutral-voice reporting, where the focus is on being balanced, keeping the journalist’s opinions out of reports. More recently launched news sites are likely to focus on immediacy and transparency over neutrality and update readers whenever more information is known. Each approach presents different weaknesses for reporters to overcome. Of course, commentators may reference news information but are not acting as neutral reporters. Opinion pieces are often confused with basic news reporting. Pay attention whether you are reading a news report, an editorial, a guest blogger, a review, a disguised ad, or a comment.

The bottom line: be skeptical and bring a critical mind with you to everything you read. Keep in mind that “fake news” can be about something else besides the truth. As University of Southern California media scholar Mike Ananny has said, it is often “a struggle between [how] different people envision what kind of world that they want.”

Here are some tips for determining if a story is likely reliable. An organization does not need to tick off all these qualifiers in order to be considered authentic and accurate, but the more you see red flags pop up, the more a healthy skepticism is in order.

You’ll notice these are “tips” and not a checklist. Checklists can oversimply the nuances of discernment into black-and-white boxes.

More about spotting fake news

Four Kinds of News Sites

1-Quality news brands (like the BBC and The Washington Post) have earned their reputations over time as consistently reliable news sources (not perfect, but more trustworthy). Savvy readers don’t expect as much from 2-inconsistent outlets that sometimes show bias but are not “fake” (Huffington Post, Fox News). In these cases, some information may be misleading by the way an issue is framed. Then there are 3-satirical news sites (The Onion, Clickhole, and The Babylon Bee). The articles and videos are intentionally fake but intended to be funny or make a point. They aren’t designed to fool anyone. 4-Fake news sites deliberately fabricate stories. (RT News, The Globe) Packaged as legitimate journalism, these articles may mix some truth with outright lies to deceive readers or gain clicks. Fact-checkers distinguish between misinformation, where the sharer may not realize the information is fraudulent, and disinformation, where the creator/sharer knows the information is false. In each case, the motivation of the sharer can be different.

Google searches for “Fake News” since 2014

The Society of Professional Journalists Code of Ethics encourages journalists to “seek truth and report” and “be accountable and transparent” while doing it. Looking for these qualities is an effective way to separate the fake and the real.

12 Fact-Checking Sites

Most fact-checking sites give out-sized space to political issues. This misses a deal of quality journalism published in other areas (health, environment, religion, etc.). Also, a complaint leveled at fact-checkers is that they will sometimes fall into “selection bias”—the tendency to pick apart stories promoting views with which they disagree.  

Fact-Checker                     News Literacy Project

FactCheck.org                    Politifact

Hoaxy                             Snopes        

Irumor Mill                      SourceWatch                   

Media Bias Fact Check        Truth or Fiction

MetaBunk Washington Post Fact Checker

More about fake news

Why People Believe in Conspiracy Theories

According to new research, it isn't ignorance that makes people most likely to buy into conspiratorial thinking, or social isolation or mental illness. It's a far more prevalent and pesky personality quirk: overconfidence. The more you think you're right all the time, a new study suggests, the more likely you are to buy conspiracy theories, regardless of the evidence. -Adam Rodgers, writing in Business Insider

Overclaiming

Research reveals that the more people think they know about a topic in general, the more likely they are to allege knowledge of completely made-up information and false facts, a phenomenon known as "overclaiming." The findings are published in Psychological Science, a journal of the Association for Psychological Science.

In one set of experiments, the researchers tested whether individuals who perceived themselves to be experts in personal finance would be more likely to claim knowledge of fake financial terms.

As expected, people who saw themselves as financial wizards were most likely to claim expertise of the bogus finance terms.

"The more people believed they knew about finances in general, the more likely they were to overclaim knowledge of the fictitious financial terms," psychological scientist Stav Atir of Cornell University, first author on the study, says. "The same pattern emerged for other domains, including biology, literature, philosophy, and geography."

"For instance," Atir explains, "people's assessment of how much they know about a particular biological term will depend in part on how much they think they know about biology in general."

In another experiment, the researchers warned one set of 49 participants that some of the terms in a list would be made up. Even after receiving the warning, the self-proclaimed experts were more likely to confidently claim familiarity with fake terms. 

from Science Daily

13 things journalists need to know about AI

A good rule of thumb is to start from the assumption that any story you hear about using AI in real-world settings is, beneath everything else, a story about labor automation.  Max Read’s blog 

This new era requires that newsrooms develop new, clear standards for how journalists will — and won’t — use AI for reporting, writing and disseminating the news. Newsrooms need to act quickly but deliberatively to create these standards and to make them easily accessible to their audiences. Poynter

Any assistance provided to these (AI) companies (by news organizations) could ultimately help put journalists out of business, and the risk remains that, once the media’s utility to the world of AI has been exhausted, the funding tap will quickly be turned off. Media executives can argue that having a seat at the table is better than not having one, but it might just make it easier for big tech to eat their lunch. Columbia Journalism Review 

Google is testing a product that uses artificial intelligence technology to produce news stories, pitching it to news organizations including The New York Times, The Washington Post and The Wall Street Journal’s owner, News Corp, according to three people familiar with the matter. New York Times

“Reporters tend to just pick whatever the (AI) author or the model producer has said,” Abeba Birhane, an AI researcher and senior fellow at the Mozilla Foundation, said. “They just end up becoming a PR machine themselves for those tools.” Jonathan Stray, a senior scientist at the Berkeley Center for Human-Compatible AI and former AP editor, said, “Find the people who are actually using it or trying to use it to do their work and cover that story, because there are real people trying to get real things done.” Columbia Journalism Review

Journalists’ greatest value will be in asking good questions and judging the quality of the answers, not writing up the results. Wall Street Journal 

There are 49 supposed news sites that NewsGuard, an organization tracking misinformation, has identified as “almost entirely written by artificial intelligence software.” The Guardian

Recently, AI developers have claimed their models perform well not only on a single task but in a variety of situations … In the absence of any real-world validation, journalists should not believe the company’s claims. Columbia Journalism Review

If media outlets truly wanted to learn about the power of AI in newsrooms, they could test tools internally with journalists before publishing. Instead, they’re skipping to the potential for profit. The Verge

One of the main ways to combat misinformation is to make it clearer where a piece of content was generated and what happened to it along the way. The Adobe-led Content Authenticity Initiative aims to help image creators do this. Microsoft announced earlier this year that it will add metadata to all content created with its generative AI tools. Google, meanwhile, plans to share more details on the images catalogued in its search engine. Axios 

In the newsroom, some media companies have already tried to implement generative AI to create content that is easily automated, such as newsletters and real estate reports. The tech news media CNET started quietly publishing articles explaining financial topics using “‘automated technology’ – a stylistic euphemism for AI,” CNET had to issue corrections on 41 of the 77 stories after uncovering errors despite the articles being reviewed by humans prior to publication. Some of the errors came down to basic math. It’s mistakes such as these that make many journalists wary of using AI tools beyond simple transcription or programming a script. Columbia Journalism Review

OpenAI and the Associated Press are announcing a landmark deal for ChatGPT to license the news organization's archives. Axios

AI in The Newsroom (video) International News Media Association International  

Fake scientific papers are alarmingly common ­­­

When neuropsychologist Bernhard Sabel put his new fake-paper detector to work, he was “shocked” by what it found. After screening some 5000 papers, he estimates up to 34% of neuroscience papers published in 2020 were likely made up or plagiarized; in medicine, the figure was 24%.

Jeffrey Barinard writing in Science Magazine

The Motivation behind Fake News

Fake news may be a fight not over truth, but power, according to Mike Ananny, a media scholar at the University of Southern California. Fake news “is evidence of a social phenomenon at play — a struggle between [how] different people envision what kind of world that they want.”

Ideological fake news lands in the social media feeds of audiences who are already primed to believe whatever story confirms their worldview.

Brooke Borel writing for FiveThirtyEight

What a TikTok Ban Won't Do

While Congress has been up in arms about TikTok, it has failed to pass even the most basic comprehensive privacy legislation to protect our data from being misused by all the tech companies that collect and mine it.

The even deeper problem is that putting TikTok under state control, banning it or selling it to a U.S. company wouldn’t solve the threats that the app is said to pose. If China wants to obtain data about U.S. residents, it can still buy it from one of the many unregulated data brokers that sell granular information about all of us. If China wants to influence the American population with disinformation, it can spread lies across the Big Tech platforms just as easily as other nations can.

it would be much more effective for China to just hack every home’s Wi-Fi router — most of which are manufactured in China and are notoriously insecure — and obtain far more sensitive data than it can get from knowing which videos we swipe on TikTok.

Investigative journalist Julia Angwin writing in the New York Times

Your Inner Voice Can Mislead You

It’s very disturbing when you realize that our brains are a fiction-making machine. We make up all kinds of crazy things to help us feel better and to justify the decisions that we’ve made. The inner voice is the one who arbitrates a lot of that maneuvering around the truth, so we have to be very careful. It’s a master storyteller and far more important than you may realize.

Jim Loehr, performance psychologist and cofounder of the Human Performance Institute, quoted in Fast Company

How Generative AI could spawn a new generation of Disinformation  

There is reason to believe that AI could really be the new variant of disinformation that makes lies about future elections, protests, or mass shootings both more contagious and immune-resistant. Consider, for example, the raging bird-flu outbreak, which has not yet begun spreading from human to human. A political operative—or a simple conspiracist—could use programs similar to ChatGPT and DALL-E 2 to easily generate and publish a huge number of stories about Chinese, World Health Organization, or Pentagon labs tinkering with the virus, backdated to various points in the past and complete with fake “leaked” documents, audio and video recordings, and expert commentary. A synthetic history in which a government-weaponized bird flu would be ready to go if avian flu ever began circulating among humans. A propagandist could simply connect the news to their entirely fabricated—but fully formed and seemingly well-documented—backstory seeded across the internet, spreading a fiction that could consume the nation’s politics and public-health response. The power of AI-generated histories, Horvitz told me, lies in “deepfakes on a timeline intermixed with real events to build a story.”

Matteo Wong writing in The Atlantic

Deepfakes Flourish

Deepfake technology — software that allows people to swap faces, voices and other characteristics to create digital forgeries — has been used in recent years to make a synthetic substitute of Elon Musk that shilled a cryptocurrency scam, to digitally “undress”more than 100,000 women on Telegram and to steal millions of dollars from companies by mimicking their executives’ voices on the phone.

In most of the world, the authorities can’t do much about it. Even as the software grows more sophisticated and accessible, few laws exist to manage its spread.

Read more about Deep Fakes in the New York Times

The 3 Things Far-Right & Far-Left Political News Sources have in Common

When researchers analyzed almost 6,000 political news stories produced by partisan and nonpartisan media outlets in 2021, three things became clear:

  • Media outlets with extreme biases — regardless of whether it was a conservative or liberal bias — tended to use shorter sentences and less formal language than nonpartisan outlets.

  • Mainstream news organizations, as a whole, wrote at a higher reading level.

  • Far-right and far-left outlets took a more negative tone than nonpartisan outlets. They generally had a lower ratio of positive to negative words.

The researchers describe their findings in a paper forthcoming in Journalism Studies, “At the Extremes: Assessing Readability, Grade Level, Sentiment, and Tone in US Media Outlets.”

Read the full article from Journalist’s Resources here.

Critical Ignoring compliments Critical Thinking

On the web, where a witches’ brew of advertisers, lobbyists, conspiracy theorists and foreign governments conspire to hijack attention, the same strategy spells doom. Online, critical ignoring is just as important as critical thinking. 

That’s because, like a pinball bouncing from bumper to bumper, our attention careens from notification to text message to the next vibrating thing we must check. A flood of information depletes attention and fractures the ability to concentrate.

Sam Wineburg writing in The Conversation

Our Favorite Conclusions

It would be unfair for teachers to give the students they like easier exams than those they dislike, for federal regulators to require that foreign products pass sticker safety tests than domestic products, or for judges to insist that the defense attorney make better arguments than the prosecutor.

And yet, this is just the sort of uneven treatment most of us give to facts that confirm and disconfirm our favored conclusions.

For example, volunteers in one study were told that they had performed very well or very poorly on a social-sensitivity test and were then asked to assess two scientific reports—one that suggested the test was valid and one that suggested it was not. Volunteers who had performed well on the test believed that the studies in the validating report used sounder scientific methods than did the studies in the invalidating report, but volunteers who performed poorly on the test believed precisely the opposite.

To ensure that our views are credible, our brain accepts what our eye sees. To ensure that our views are positive, our eye looks for what our brain wants.

Daniel Gilbert, Stumbling on Happiness