NYT-led group asks court to sanction OpenAI in US copyright dispute 44%

By Al Jazeera0%

7/9/2026, 2:17:54 PM

BS Summary: This article contains 26 faulty reasoning types, including Framing Effect, Confirmation Bias, and Burden of Proof, with Negativity Bias as the most egregious example at 40.2% saturation with 255 hits. Analysis detected 1,674 faulty-reasoning hits from 635 analyzed words, generating a BS Score of 46.9% and a BS Rank of 44% (12,397 of 21,887 articles). This article is better (less manipulative) than 56.60% of the article peer group.

The case is one of many brought by copyright owners including authors, visual artists and music labels against tech companies such as OpenAI, Anthropic and Meta Platforms for allegedly misusing their material to train AI systems [File: Mark Lennihan/AP Photo] 
Published On 9 Jul 2026 9 Jul 2026 
The New York Times, the Daily News and other US media outlets are asking a United States federal judge to impose sanctions on OpenAI, escalating a fight over artificial intelligence (AI) and copyright that could shape the future of a struggling news industry. 
The newspapers allege the ChatGPT maker is hiding evidence important to what could be a landmark copyright infringement trial over how OpenAI and its business partner, Microsoft, built their AI technologies using millions of news articles. 
At issue is whether AI chatbots are unfairly competing as an information source, siphoning off web traffic without doing the journalistic work involved in gathering the news. 
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A filing on Thursday in a Manhattan federal courthouse alleges OpenAI “chose obstruction” over releasing data sets and ChatGPT logs that could show how the AI system used copyrighted news content. 
The plaintiffs are asking the judge to penalise the company for “discovery misconduct” that could distort evidence, saying a recent deposition of an OpenAI employee contradicts the company’s earlier claims. 
New York Daily News attorney Steven Lieberman said OpenAI has been “making misrepresentations” for two years about its ability to search for copyrighted content in its AI training datasets and logs. 
“This motion asks the court to punish OpenAI for hiding and destroying evidence showing how ChatGPT was trained on stolen journalism,” said Lieberman, who represents the Daily News and seven of its sister papers. 
OpenAI has previously argued that turning over ChatGPT conversation logs would risk violating users’ privacy. 
“As the Times’ case weakens and they’ve been forced to drop claims against us, they’re persisting with their efforts to invade the privacy of people who have nothing to do with this case, including by making these blatantly false allegations,” OpenAI spokesperson Drew Pusateri said in response to the newspapers’ filing, the Reuters news agency reported. 
The New York Times (NYT) sued OpenAI and Microsoft in late 2023, about a year after ChatGPT’s debut sparked a commercial AI boom and began changing the way people search for information online. 
The threat to news publications became even more apparent when Google in 2024 introduced AI-generated summaries at the top of online search results, cutting off the advertising dollars that come when people click a link to the information’s original source. 
The NYT was then joined by other news companies. 
The case is one of many brought by copyright owners including authors, visual artists and music labels against tech companies such as OpenAI, Anthropic and Meta Platforms for allegedly misusing their material to train AI systems. 
The Times has already spent more than $28m on fighting AI companies in court, according to filings with financial regulators that disclose its litigation costs. 
The costs include another lawsuit the newspaper filed last year against AI company Perplexity. 
The mounting costs come as a growing number of media organisations have signed licensing deals with OpenAI and other AI companies such as Google and Facebook parent Meta that typically pay the outlet a fee to be able to train AI systems on their news feeds or archives. 
The Associated Press was the first to announce such a deal with OpenAI in 2023. 
Article reasoning-pattern comparisonThis article: 15.3%Al Jazeera: 3.5%Al Jazeera: 2.7%Confirmation Bias15.3%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 0.8%Anchoring Bias0.0%This article: 0.0%Al Jazeera: 1.5%Al Jazeera: 2.8%Availability Heuristic0.0%This article: 12.0%Al Jazeera: 1.2%Al Jazeera: 0.8%Representativeness Heuristic12.0%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 0.4%Hindsight Bias0.0%This article: 0.0%Al Jazeera: 1.3%Al Jazeera: 2.1%Overconfidence Bias0.0%This article: 18.1%Al Jazeera: 9.8%Al Jazeera: 8.5%Framing Effect18.1%This article: 0.0%Al Jazeera: 0.3%Al Jazeera: 0.6%Loss Aversion0.0%This article: 7.6%Al Jazeera: 0.4%Al Jazeera: 0.6%Status Quo Bias7.6%This article: 11.5%Al Jazeera: 0.8%Al Jazeera: 0.1%Sunk Cost Effect11.5%This article: 0.0%Al Jazeera: 1.8%Al Jazeera: 2.5%Optimism Bias0.0%This article: 13.1%Al Jazeera: 1.0%Al Jazeera: 2.7%Pessimism Bias13.1%This article: 40.2%Al Jazeera: 8.5%Al Jazeera: 10.3%Negativity Bias40.2%This article: 13.7%Al Jazeera: 2.6%Al Jazeera: 1.8%Self-Serving Bias13.7%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 1.1%Fundamental Attribution Error0.0%This article: 5.4%Al Jazeera: 0.3%Al Jazeera: 0.3%Actor-Observer Bias5.4%This article: 0.0%Al Jazeera: 0.5%Al Jazeera: 1.5%In-Group Bias0.0%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 0.9%Out-Group Homogeneity Bias0.0%This article: 0.0%Al Jazeera: 1.0%Al Jazeera: 1.0%Halo Effect0.0%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 0.1%Horn Effect0.0%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 0.0%Dunning-Kruger Effect0.0%This article: 8.8%Al Jazeera: 0.7%Al Jazeera: 1.8%Recency Bias8.8%This article: 2.4%Al Jazeera: 0.1%Al Jazeera: 0.3%Primacy Effect2.4%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 0.0%Blind-Spot Bias0.0%This article: 0.0%Al Jazeera: 1.0%Al Jazeera: 0.8%Ad Hominem0.0%This article: 0.0%Al Jazeera: 0.5%Al Jazeera: 0.1%Straw Man0.0%This article: 0.0%Al Jazeera: 1.6%Al Jazeera: 4.0%Appeal to Authority0.0%This article: 4.3%Al Jazeera: 0.7%Al Jazeera: 1.9%False Dilemma4.3%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 1.0%Slippery Slope0.0%This article: 0.0%Al Jazeera: 0.6%Al Jazeera: 0.2%Circular Reasoning0.0%This article: 0.0%Al Jazeera: 0.7%Al Jazeera: 3.6%Hasty Generalization0.0%This article: 0.0%Al Jazeera: 1.4%Al Jazeera: 0.2%Red Herring0.0%This article: 1.4%Al Jazeera: 0.7%Al Jazeera: 0.3%Bandwagon1.4%This article: 11.0%Al Jazeera: 2.0%Al Jazeera: 5.1%Appeal to Emotion11.0%This article: 8.8%Al Jazeera: 3.0%Al Jazeera: 0.9%Begging the Question8.8%This article: 11.5%Al Jazeera: 2.7%Al Jazeera: 3.3%Post Hoc (False Cause)11.5%This article: 8.8%Al Jazeera: 0.7%Al Jazeera: 0.2%Tu Quoque8.8%This article: 14.2%Al Jazeera: 0.9%Al Jazeera: 0.4%Burden of Proof14.2%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 0.1%Appeal to Nature0.0%This article: 7.6%Al Jazeera: 0.6%Al Jazeera: 0.2%Composition/Division7.6%This article: 4.9%Al Jazeera: 1.9%Al Jazeera: 1.2%Anecdotal4.9%This article: 0.0%Al Jazeera: 0.2%Al Jazeera: 0.1%No True Scotsman0.0%This article: 4.9%Al Jazeera: 1.0%Al Jazeera: 2.2%Ambiguity (Equivocation)4.9%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 0.1%Middle Ground0.0%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 0.0%Personal Incredulity0.0%This article: 2.4%Al Jazeera: 0.1%Al Jazeera: 0.1%Special Pleading2.4%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 0.1%Genetic Fallacy0.0%This article: 8.8%Al Jazeera: 1.8%Al Jazeera: 2.8%Unattributed Quote8.8%This article: 14.2%Al Jazeera: 1.6%Al Jazeera: 1.6%Quote-first Misdirection14.2%This article: 6.3%Al Jazeera: 1.1%Al Jazeera: 4.2%Biased Writer Voice6.3%This article: 6.8%Al Jazeera: 0.3%Al Jazeera: 0.8%Indoctrination6.8%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 1.2%Politically Left Leaning Bias0.0%This article: 0.0%Al Jazeera: 0.0%Al Jazeera: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Al Jazeera: 0.3%Al Jazeera: 0.3%Attempt to Sell a Product or S…0.0%

635 words analyzed.

Speakers

2speakers19%attributed speech514writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageWriter's voice • 40 words • 100.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 43 words • 100.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageSteven Lieberman • 31 words • 0.0% coverageSteven Lieberman • 34 words • 100.0% coverageWriter's voice • 15 words • 0.0% coverageDrew Pusateri • 56 words • 100.0% coverageWriter's voice • 33 words • 0.0% coverageWriter's voice • 40 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 48 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverage
Selected voice

Drew Pusateri

100%flagged-word coverage
56 attributed words46% of attributed speech85% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%Drew Pusateri: 100.0%100.0%Quote-first Misdirection+100.0 ptsWriter: 0.0%Drew Pusateri: 100.0%100.0%Indoctrination-8.4 ptsWriter: 8.4%Drew Pusateri: 0.0%0.0%Biased Writer Voice-7.8 ptsWriter: 7.8%Drew Pusateri: 0.0%0.0%

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.