The Verge56%

TikTok is testing an AI likeness detection tool 27%

By Jay Peters31%

7/17/2026, 7:34:30 PM

BS Summary: This article contains 10 faulty reasoning types, including Appeal to Authority, Burden of Proof, and Biased Writer Voice, with Confirmation Bias as the most egregious example at 25% saturation with 42 hits. Analysis detected 292 faulty-reasoning hits from 168 analyzed words, generating a BS Score of 38.5% and a BS Rank of 27% (15,997 of 21,887 articles). This article is better (less manipulative) than 73.10% of the article peer group.

TikTok is starting to test an opt-in tool that scans for AI likenesses and lets creators report them to the company, as spotted by social media consultant Matt Navarra. 
The tool is initially being tested with “some” US creators, TikTok US spokesperson Zachary Kizer tells The Verge. 
YouTube has been working on a similar tool and recently made it available to all adult users. 
Creators who are part of TikTok’s test and want to use the tool will first have to verify their identity with a company called Jumio. 
You’ll have to do a real-time selfie scan and an ID check, but Kizer says that “TikTok does not retain ID documents, and facial information is used only for likeness matching and to help identify potential unauthorized uses of a creator’s likeness.” 
After verification, TikTok’s system scans for AI-generated content potentially using a creator’s likeness. 
From there, a creator can review what TikTok found and potentially report unauthorized posts and accounts. 
Article reasoning-pattern comparisonThis article: 25.0%Jay Peters: 2.7%The Verge: 3.6%Confirmation Bias25.0%This article: 0.0%Jay Peters: 0.6%The Verge: 1.3%Anchoring Bias0.0%This article: 17.3%Jay Peters: 2.5%The Verge: 3.8%Availability Heuristic17.3%This article: 0.0%Jay Peters: 0.6%The Verge: 1.3%Representativeness Heuristic0.0%This article: 0.0%Jay Peters: 0.3%The Verge: 0.7%Hindsight Bias0.0%This article: 0.0%Jay Peters: 0.9%The Verge: 1.7%Overconfidence Bias0.0%This article: 0.0%Jay Peters: 3.0%The Verge: 6.2%Framing Effect0.0%This article: 0.0%Jay Peters: 0.3%The Verge: 0.9%Loss Aversion0.0%This article: 10.1%Jay Peters: 0.4%The Verge: 0.5%Status Quo Bias10.1%This article: 0.0%Jay Peters: 0.2%The Verge: 0.4%Sunk Cost Effect0.0%This article: 9.5%Jay Peters: 3.5%The Verge: 4.0%Optimism Bias9.5%This article: 7.7%Jay Peters: 2.2%The Verge: 2.4%Pessimism Bias7.7%This article: 0.0%Jay Peters: 7.5%The Verge: 9.7%Negativity Bias0.0%This article: 0.0%Jay Peters: 1.1%The Verge: 1.5%Self-Serving Bias0.0%This article: 0.0%Jay Peters: 0.2%The Verge: 0.8%Fundamental Attribution Error0.0%This article: 0.0%Jay Peters: 0.2%The Verge: 0.2%Actor-Observer Bias0.0%This article: 0.0%Jay Peters: 0.0%The Verge: 0.6%In-Group Bias0.0%This article: 0.0%Jay Peters: 0.2%The Verge: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Jay Peters: 2.8%The Verge: 2.8%Halo Effect0.0%This article: 0.0%Jay Peters: 0.0%The Verge: 0.2%Horn Effect0.0%This article: 0.0%Jay Peters: 0.0%The Verge: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Jay Peters: 1.7%The Verge: 1.8%Recency Bias0.0%This article: 0.0%Jay Peters: 0.7%The Verge: 0.4%Primacy Effect0.0%This article: 0.0%Jay Peters: 0.0%The Verge: 0.1%Blind-Spot Bias0.0%This article: 0.0%Jay Peters: 0.4%The Verge: 1.1%Ad Hominem0.0%This article: 0.0%Jay Peters: 0.0%The Verge: 0.3%Straw Man0.0%This article: 25.0%Jay Peters: 4.0%The Verge: 4.0%Appeal to Authority25.0%This article: 0.0%Jay Peters: 0.3%The Verge: 1.6%False Dilemma0.0%This article: 0.0%Jay Peters: 0.5%The Verge: 1.2%Slippery Slope0.0%This article: 0.0%Jay Peters: 0.1%The Verge: 0.2%Circular Reasoning0.0%This article: 0.0%Jay Peters: 4.5%The Verge: 6.8%Hasty Generalization0.0%This article: 0.0%Jay Peters: 0.3%The Verge: 0.2%Red Herring0.0%This article: 0.0%Jay Peters: 0.0%The Verge: 0.7%Bandwagon0.0%This article: 0.0%Jay Peters: 3.6%The Verge: 4.2%Appeal to Emotion0.0%This article: 0.0%Jay Peters: 0.7%The Verge: 1.1%Begging the Question0.0%This article: 0.0%Jay Peters: 1.8%The Verge: 2.3%Post Hoc (False Cause)0.0%This article: 0.0%Jay Peters: 0.0%The Verge: 0.2%Tu Quoque0.0%This article: 25.0%Jay Peters: 0.9%The Verge: 0.8%Burden of Proof25.0%This article: 0.0%Jay Peters: 0.3%The Verge: 0.3%Appeal to Nature0.0%This article: 0.0%Jay Peters: 0.3%The Verge: 0.3%Composition/Division0.0%This article: 0.0%Jay Peters: 4.0%The Verge: 3.6%Anecdotal0.0%This article: 0.0%Jay Peters: 0.0%The Verge: 0.1%No True Scotsman0.0%This article: 18.5%Jay Peters: 2.2%The Verge: 2.2%Ambiguity (Equivocation)18.5%This article: 0.0%Jay Peters: 0.0%The Verge: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jay Peters: 0.1%The Verge: 0.1%Middle Ground0.0%This article: 0.0%Jay Peters: 0.1%The Verge: 0.1%Personal Incredulity0.0%This article: 0.0%Jay Peters: 0.4%The Verge: 0.2%Special Pleading0.0%This article: 0.0%Jay Peters: 0.0%The Verge: 0.2%Genetic Fallacy0.0%This article: 10.7%Jay Peters: 2.6%The Verge: 2.6%Unattributed Quote10.7%This article: 0.0%Jay Peters: 1.9%The Verge: 1.4%Quote-first Misdirection0.0%This article: 25.0%Jay Peters: 8.8%The Verge: 10.8%Biased Writer Voice25.0%This article: 0.0%Jay Peters: 0.3%The Verge: 1.1%Indoctrination0.0%This article: 0.0%Jay Peters: 0.0%The Verge: 1.6%Politically Left Leaning Bias0.0%This article: 0.0%Jay Peters: 0.0%The Verge: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Jay Peters: 5.3%The Verge: 4.2%Attempt to Sell a Product or S…0.0%

168 words analyzed.

Speakers

1speaker36%attributed speech108writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageZachary Kizer • 18 words • 100.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageZachary Kizer • 42 words • 100.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverage
Selected voice

Zachary Kizer

100%flagged-word coverage
60 attributed words100% of attributed speech69% writer coverage
0%35.0%70.0%Biased Writer Voice+70.0 ptsWriter: 0.0%Zachary Kizer: 70.0%70.0%Unattributed Quote+30.0 ptsWriter: 0.0%Zachary Kizer: 30.0%30.0%

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.