WTOP46%

Court orders Instagram and Facebook’s Meta to pay $567M to address kids’ mental health online 26%

By WTOP Staff41%

8/6/2026, 5:44:33 PM

BS Summary: This article contains 21 faulty reasoning types, including Appeal to Emotion, Availability Heuristic, and Framing Effect, with Negativity Bias as the most egregious example at 17.6% saturation with 158 hits. Analysis detected 1,021 faulty-reasoning hits from 899 analyzed words, generating a BS Score of 30.6% and a BS Rank of 26% (22,732 of 30,584 articles). This article is better (less manipulative) than 74.30% of the article peer group.

A New Mexico court has ordered Instagram and Facebook parent company Meta to pay $567 million to address harms to young people from its platforms in the second phase of a landmark trial. 
Judge Bryan Biedscheid said in a ruling late Thursday that the bulk of the money  $420 million  will be used for treatment services for young people. 
The rest will go toward awareness and prevention, screening services and other costs over the next five years. 
The new penalty is in addition to the $375 million in civil penalties that jurors ordered against Meta in March after determining the company knowingly harmed children’s mental health and concealed what it knew about child sexual exploitation on its platforms. 
In the second phase, prosecutors asked the judge to impose fundamental changes at Meta aimed at reining in addictive features, improving age verification and preventing child sexual exploitation through default privacy settings and closer oversight. 
The total amount Meta is responsible for  $942 million  is a small fraction of of its annual profit, which was about $60 billion in 2025. 
Investors seemed to shrug off the New Mexico ruling in after-hours trading Thursday, sending Meta’s stock down less than half a percent to $589.44. 
Still, the ruling is another setback for Meta, which faces an avalanche of lawsuits from thousands of families of children harmed by social media. 
New Mexico Attorney General Raúl Torrez said it sends an unmistakable message that companies will be held accountable when their product designs knowingly put children at risk. 
“Today’s decision is a victory for every parent who has worried about what social media is doing to their child and every child who deserves to grow up safer online,” he said in a statement. 
Meta vowed to appeal. 
“We work hard to keep people safe on our platforms and have been transparent about the challenges of identifying and removing bad actors and harmful content,” the company said in a statement. 
“We remain confident in our record of protecting teens online and will continue to defend ourselves against claims that misrepresent the facts.” 
The look of Meta’s platforms could change 
The judge ordered Facebook and Instagram to build banner and informational screens to clearly explain its protection features, best practices and tools to address inappropriate comment, for example, and display them regularly. 
Those changes and an educational campaign in New Mexico would be subject to review by the state. 
The court said federal children’s privacy laws prevent Meta from applying age-verification tools to children under 13. 
The Children’s Online Privacy Protection Act, or COPPA, means it cannot order Meta to request children to submit personal data or be passively tracked online, even for age verification purposes. 
The court also noted that ordering verification of children’s ages only for Meta and not other social media companies would be “inequitable and unduly injurious” to the company. 
Instead, the court ordered Meta to continue to improve its age assurance tools in New Mexico, which include using artificial intelligence to determine people’s age based on signals such as who their friends are and what types of content they post and consume. 
Meta must also attempt to develop a dedicated “under-13-years-of-age prediction model” in the next two years. 
Additionally, Meta should also request proof of age for Instagram and Facebook users in New Mexico it estimates to be under 13. 
If it determines a user to be under 13, or under 18 but without being able to estimate a specific age, Meta must treat the user as under 13 or under 18 until the user verifies their age. 
The company must also partner with schools or a child safety organization to create a reporting portal where school staff can flag users who may be under 13. 
And it must delete personal information it has collected on users under 13. 
The court also ordered Meta to report on its progress twice a year on how it’s complying with the abatement measures. 
Meta is gearing up for a trial this month in California amid flood of lawsuits 
Meta is also gearing up for a trial later this month in federal court in Oakland, California. 
Here, Meta will face the first four of 29 states that sued it in a federal multi-district lawsuit filed in 2023 for contributing to the youth mental health crisis by knowingly designing features on Instagram and Facebook that addict children to its platforms. 
Eight states, including Tennessee, where a trial is currently ongoing, filed lawsuits in their own state courts. 
And late last month, Meta, along with TikTok, Snap and Google’s YouTube, were sued by the families of four teenagers who died by suicide over what they describe as “years of escalating harms” from using their platforms that eventually resulted in their deaths. 
What comes out of New Mexico is the first of many dominoes that will fall for Meta, said Laura Edelson, an assistant professor at Northeastern University focusing on social media and cybersecurity. 
“America is not going to pass a law that bans social media,” Edelson said. 
“But if companies like Meta know they’re causing harm to users by product design, the states are finally finding a way to rein this in.” 
This story has been updated to correct the judge’s last name to Biedscheid, not Biedcheid. 
___ 
Article reasoning-pattern comparisonThis article: 3.0%WTOP Staff: 2.6%WTOP: 2.6%Confirmation Bias3.0%This article: 6.1%WTOP Staff: 0.6%WTOP: 0.7%Anchoring Bias6.1%This article: 10.3%WTOP Staff: 2.7%WTOP: 2.7%Availability Heuristic10.3%This article: 0.0%WTOP Staff: 0.7%WTOP: 0.7%Representativeness Heuristic0.0%This article: 0.0%WTOP Staff: 0.4%WTOP: 0.3%Hindsight Bias0.0%This article: 0.0%WTOP Staff: 1.0%WTOP: 1.0%Overconfidence Bias0.0%This article: 9.5%WTOP Staff: 5.6%WTOP: 5.6%Framing Effect9.5%This article: 0.0%WTOP Staff: 0.4%WTOP: 0.4%Loss Aversion0.0%This article: 0.0%WTOP Staff: 0.5%WTOP: 0.5%Status Quo Bias0.0%This article: 0.0%WTOP Staff: 0.1%WTOP: 0.1%Sunk Cost Effect0.0%This article: 7.6%WTOP Staff: 1.7%WTOP: 1.8%Optimism Bias7.6%This article: 3.6%WTOP Staff: 1.2%WTOP: 1.2%Pessimism Bias3.6%This article: 17.6%WTOP Staff: 6.4%WTOP: 6.5%Negativity Bias17.6%This article: 6.0%WTOP Staff: 1.2%WTOP: 1.1%Self-Serving Bias6.0%This article: 0.0%WTOP Staff: 0.9%WTOP: 0.9%Fundamental Attribution Error0.0%This article: 0.0%WTOP Staff: 0.2%WTOP: 0.2%Actor-Observer Bias0.0%This article: 0.0%WTOP Staff: 0.7%WTOP: 0.7%In-Group Bias0.0%This article: 0.0%WTOP Staff: 0.4%WTOP: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%WTOP Staff: 1.5%WTOP: 1.5%Halo Effect0.0%This article: 0.0%WTOP Staff: 0.1%WTOP: 0.1%Horn Effect0.0%This article: 0.0%WTOP Staff: 0.0%WTOP: 0.0%Dunning-Kruger Effect0.0%This article: 4.3%WTOP Staff: 1.0%WTOP: 1.1%Recency Bias4.3%This article: 0.8%WTOP Staff: 0.2%WTOP: 0.1%Primacy Effect0.8%This article: 0.0%WTOP Staff: 0.0%WTOP: 0.0%Blind-Spot Bias0.0%This article: 0.0%WTOP Staff: 0.4%WTOP: 0.4%Ad Hominem0.0%This article: 0.0%WTOP Staff: 0.1%WTOP: 0.1%Straw Man0.0%This article: 5.2%WTOP Staff: 2.9%WTOP: 2.9%Appeal to Authority5.2%This article: 1.6%WTOP Staff: 0.9%WTOP: 0.9%False Dilemma1.6%This article: 3.6%WTOP Staff: 0.5%WTOP: 0.6%Slippery Slope3.6%This article: 0.0%WTOP Staff: 0.1%WTOP: 0.1%Circular Reasoning0.0%This article: 1.7%WTOP Staff: 2.2%WTOP: 2.2%Hasty Generalization1.7%This article: 0.0%WTOP Staff: 0.1%WTOP: 0.1%Red Herring0.0%This article: 1.9%WTOP Staff: 0.4%WTOP: 0.4%Bandwagon1.9%This article: 11.7%WTOP Staff: 3.3%WTOP: 3.3%Appeal to Emotion11.7%This article: 2.8%WTOP Staff: 0.4%WTOP: 0.4%Begging the Question2.8%This article: 7.5%WTOP Staff: 1.6%WTOP: 1.7%Post Hoc (False Cause)7.5%This article: 0.0%WTOP Staff: 0.1%WTOP: 0.1%Tu Quoque0.0%This article: 0.0%WTOP Staff: 0.5%WTOP: 0.5%Burden of Proof0.0%This article: 0.0%WTOP Staff: 0.1%WTOP: 0.1%Appeal to Nature0.0%This article: 0.0%WTOP Staff: 0.1%WTOP: 0.1%Composition/Division0.0%This article: 3.6%WTOP Staff: 1.3%WTOP: 1.2%Anecdotal3.6%This article: 0.0%WTOP Staff: 0.0%WTOP: 0.0%No True Scotsman0.0%This article: 2.4%WTOP Staff: 1.4%WTOP: 1.3%Ambiguity (Equivocation)2.4%This article: 0.0%WTOP Staff: 0.0%WTOP: 0.0%Gambler’s Fallacy0.0%This article: 0.0%WTOP Staff: 0.1%WTOP: 0.1%Middle Ground0.0%This article: 0.0%WTOP Staff: 0.0%WTOP: 0.0%Personal Incredulity0.0%This article: 0.0%WTOP Staff: 0.1%WTOP: 0.1%Special Pleading0.0%This article: 0.0%WTOP Staff: 0.1%WTOP: 0.1%Genetic Fallacy0.0%This article: 0.0%WTOP Staff: 1.6%WTOP: 1.5%Unattributed Quote0.0%This article: 0.0%WTOP Staff: 0.9%WTOP: 0.9%Quote-first Misdirection0.0%This article: 3.0%WTOP Staff: 2.7%WTOP: 2.7%Biased Writer Voice3.0%This article: 0.0%WTOP Staff: 0.4%WTOP: 0.3%Indoctrination0.0%This article: 0.0%WTOP Staff: 0.5%WTOP: 0.5%Politically Left Leaning Bias0.0%This article: 0.0%WTOP Staff: 0.2%WTOP: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%WTOP Staff: 0.1%WTOP: 0.2%Attempt to Sell a Product or S…0.0%

899 words analyzed.

Speakers

3speakers21%attributed speech712writer words
Selected voice

Laura Edelson

100%flagged-word coverage
71 attributed words38% of attributed speech48% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.