The Verge56%

Facebook considers giving up and becoming TikTok 45%

By Jess Weatherbed65%

7/24/2026, 4:00:00 AM

BS Summary: This article contains 27 faulty reasoning types, including Availability Heuristic, Confirmation Bias, and Pessimism Bias, with Negativity Bias as the most egregious example at 49.5% saturation with 196 hits. Analysis detected 1,115 faulty-reasoning hits from 396 analyzed words, generating a BS Score of 47.5% and a BS Rank of 45% (12,172 of 21,887 articles). This article is better (less manipulative) than 55.60% of the article peer group.

Facebook is planning some big changes to try and keep its users from jumping to rival social platforms like TikTok  changes that sound dubiously similar to becoming a TikTok clone. 
Facebook head Tom Alison announced today that the platform will begin testing a “reimagined experience” later this year that will put a subset of users into a “full-screen video the moment they open the app.” 
Meta didn’t share examples of what its experimental new interface will look like, only that it will initially roll out to countries with a noted preference for video content, with a potential expansion planned for the US next year. 
These tests are driven by Facebook observing that “video is where conversations are happening, communities are forming, and even commerce is starting to take place”  placing Meta’s original social media platform at risk of falling behind. 
While Meta doesn’t break out specific user figures for its individual platforms, it collectively lost 20 million users in the first quarter of 2026, according to the company’s own data. 
Facebook is reportedly still the most popular social platform globally, but YouTube is a close second, and TikTok isn’t far behind  it passed the 1 billion monthly users milestone just three years after launch, significantly faster than Facebook. 
Meta launched Reels for Instagram in 2020 to better compete with TikTok, and now it’s trying to do something similar with Facebook. 
This is after Alison told The Verge in 2022 that he sees “TikTok chasing Facebook,” rather than the other way around. 
Facebook has grown into a hodgepodge of social and commerce services over the years, and now it’s also emulating similar rival platforms to improve its own user experiences. 
Today it’s launching Seller, a dedicated Craigslist-like app for Marketplace sellers to track performance, manage listings, and message buyers. 
Facebook also launched its Forum app earlier this year that provides a dedicated space for people to interact with Facebook Groups  similar to subreddit communities on Reddit. 
Changes are also being made to Facebook’s user verification badges, which require a paid subscription to Meta Verified that starts at $11.99 per month. 
Now, Facebook says it’s offering a free verified badge that can be obtained by completing a “simple selfie verification” process, with the aim of helping users know that a profile is linked to a real person. 
Article reasoning-pattern comparisonThis article: 17.2%Jess Weatherbed: 4.0%The Verge: 3.6%Confirmation Bias17.2%This article: 5.3%Jess Weatherbed: 4.2%The Verge: 1.3%Anchoring Bias5.3%This article: 19.7%Jess Weatherbed: 4.0%The Verge: 3.8%Availability Heuristic19.7%This article: 9.8%Jess Weatherbed: 0.8%The Verge: 1.3%Representativeness Heuristic9.8%This article: 0.0%Jess Weatherbed: 0.4%The Verge: 0.7%Hindsight Bias0.0%This article: 0.0%Jess Weatherbed: 1.2%The Verge: 1.7%Overconfidence Bias0.0%This article: 1.8%Jess Weatherbed: 8.2%The Verge: 6.2%Framing Effect1.8%This article: 6.1%Jess Weatherbed: 2.3%The Verge: 0.9%Loss Aversion6.1%This article: 5.6%Jess Weatherbed: 0.4%The Verge: 0.5%Status Quo Bias5.6%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.4%Sunk Cost Effect0.0%This article: 9.1%Jess Weatherbed: 5.1%The Verge: 4.0%Optimism Bias9.1%This article: 17.2%Jess Weatherbed: 3.2%The Verge: 2.4%Pessimism Bias17.2%This article: 49.5%Jess Weatherbed: 10.4%The Verge: 9.7%Negativity Bias49.5%This article: 9.1%Jess Weatherbed: 0.7%The Verge: 1.5%Self-Serving Bias9.1%This article: 7.1%Jess Weatherbed: 1.4%The Verge: 0.8%Fundamental Attribution Error7.1%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.2%Actor-Observer Bias0.0%This article: 0.0%Jess Weatherbed: 0.2%The Verge: 0.6%In-Group Bias0.0%This article: 0.0%Jess Weatherbed: 0.6%The Verge: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%Jess Weatherbed: 2.4%The Verge: 2.8%Halo Effect0.0%This article: 0.0%Jess Weatherbed: 0.8%The Verge: 0.2%Horn Effect0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.0%Dunning-Kruger Effect0.0%This article: 7.6%Jess Weatherbed: 1.8%The Verge: 1.8%Recency Bias7.6%This article: 5.3%Jess Weatherbed: 0.4%The Verge: 0.4%Primacy Effect5.3%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.1%Blind-Spot Bias0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 1.1%Ad Hominem0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.3%Straw Man0.0%This article: 9.1%Jess Weatherbed: 9.1%The Verge: 4.0%Appeal to Authority9.1%This article: 1.8%Jess Weatherbed: 2.9%The Verge: 1.6%False Dilemma1.8%This article: 0.0%Jess Weatherbed: 0.9%The Verge: 1.2%Slippery Slope0.0%This article: 9.1%Jess Weatherbed: 0.7%The Verge: 0.2%Circular Reasoning9.1%This article: 7.6%Jess Weatherbed: 3.4%The Verge: 6.8%Hasty Generalization7.6%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.2%Red Herring0.0%This article: 9.8%Jess Weatherbed: 1.2%The Verge: 0.7%Bandwagon9.8%This article: 0.0%Jess Weatherbed: 2.0%The Verge: 4.2%Appeal to Emotion0.0%This article: 9.3%Jess Weatherbed: 1.7%The Verge: 1.1%Begging the Question9.3%This article: 5.6%Jess Weatherbed: 0.4%The Verge: 2.3%Post Hoc (False Cause)5.6%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.2%Tu Quoque0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.8%Burden of Proof0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.3%Appeal to Nature0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.3%Composition/Division0.0%This article: 0.0%Jess Weatherbed: 0.4%The Verge: 3.6%Anecdotal0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.1%No True Scotsman0.0%This article: 7.8%Jess Weatherbed: 3.6%The Verge: 2.2%Ambiguity (Equivocation)7.8%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.1%Middle Ground0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.1%Personal Incredulity0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.2%Special Pleading0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.2%Genetic Fallacy0.0%This article: 9.3%Jess Weatherbed: 1.5%The Verge: 2.6%Unattributed Quote9.3%This article: 5.3%Jess Weatherbed: 2.8%The Verge: 1.4%Quote-first Misdirection5.3%This article: 16.7%Jess Weatherbed: 5.8%The Verge: 10.8%Biased Writer Voice16.7%This article: 6.1%Jess Weatherbed: 1.4%The Verge: 1.1%Indoctrination6.1%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 1.6%Politically Left Leaning Bias0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.1%Politically Right Leaning Bias0.0%This article: 13.9%Jess Weatherbed: 21.3%The Verge: 4.2%Attempt to Sell a Product or S…13.9%

396 words analyzed.

Speakers

2speakers22%attributed speech310writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 7 words • 100.0% coverageWriter's voice • 31 words • 100.0% coverageTom Alison • 35 words • 0.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 37 words • 100.0% coverageMeta • 30 words • 0.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageTom Alison • 21 words • 100.0% coverageWriter's voice • 28 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 36 words • 100.0% coverage
Selected voice

Meta

100%flagged-word coverage
30 attributed words35% of attributed speech91% writer coverage
0%12.5%25.0%Biased Writer Voice-21.3 ptsWriter: 21.3%Meta: 0.0%0.0%Attempt to Sell a Product -17.7 ptsWriter: 17.7%Meta: 0.0%0.0%Unattributed Quote-11.9 ptsWriter: 11.9%Meta: 0.0%0.0%Indoctrination-7.7 ptsWriter: 7.7%Meta: 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.