Futurism88%

Tripadvisor’s AI Is Telling Vacationers That Gruesome Horror Grottos Are Wonderful Holiday Retreats 86%

By Frank Landymore67%

7/7/2026, 6:43:28 PM

BS Summary: This article contains 27 faulty reasoning types, including Biased Writer Voice, Appeal to Authority, and Hasty Generalization, with Negativity Bias as the most egregious example at 49.1% saturation with 343 hits. Analysis detected 2,379 faulty-reasoning hits from 699 analyzed words, generating a BS Score of 78.4% and a BS Rank of 86% (3,094 of 21,887 articles). This article is worse (more manipulative) than 85.90% of the article peer group.

Planning your next getaway? 
You’d be wise not to trust the advice of an AI chatbot  even if they’re explicitly designed to draw on the testimonies of real travelers. 
As <a href="https://www.theguardian.com/business/2026/jul/02/ai-summaries-tripadvisor-hotel-reviews-downplay-serious-complaints" rel="noreferrer" target="_blank"><em>The Guardian </em>reports</a>, an AI tool from Tripadvisor designed to summarize the reviews of hotels and other locations on its platforms routinely glosses over some of the horrifying complaints that guests have made about their stays. 
The AI described one hotel in Cape Verde as &#8220;spotless,&#8221; failing to mention that it was being sued for mass food poisoning, according to the findings of the consumer campaign organization Which?, reported in the newspaper. 
And for a resort in Turkey facing multiple complaints of sexual harassment, the AI waxed enthusiastic about its &#8220;friendly service,&#8221; merely alluding to those serious allegations as &#8220;lapses [in service] noted by a few. 
&#8221; 
&#8220;The platform has a responsibility to revisit the accuracy of its AI summaries and AI chatbot,&#8221; Rory Boland, the editor of Which? 
Travel, said in a statement, per <em>The Guardian</em>. 
&#8220;In the meantime, users should scroll past these summaries and look at guest reviews, particularly one-star ratings, and at reviews on other sites, to make sure their next stay is a safe one. 
&#8221; 
It&#8217;s another example of how AI summaries, when they&#8217;re not <a href="https://futurism.com/artificial-intelligence/duckduckgo-ai-trump-rabies">outright spewing</a> <a href="https://futurism.com/artificial-intelligence/google-ai-overview-scp-horror-fiction-real">misinformation</a>, frequently fail to give the complete picture. 
And it&#8217;s more egregious when you consider that the Tripadvisor tool&#8217;s purpose is to give a roundup of what other guests have said, as opposed to a general purpose chatbot that may draw from more generic information on the broader web, a lot of which may be marketing copy from the hotels and resorts in question.&nbsp; 
In other words, you&#8217;d hope Tripadvisor&#8217;s AI would cut through the BS, which is the whole appeal of the customer reviews it&#8217;s trained on in the first place. 
We all jump to the one star ratings to see how bad a place can get, and make a judgment call on whether they&#8217;re truly representative of the average person&#8217;s experience. 
But it seems the chatbot isn&#8217;t doing that, which is symptomatic of a problem with the tech at large. 
According to Duncan Brumy, a professor of human-computer interaction at the University College London, AI tends to &#8220;sanitize and rub off the edges&#8221; of harsher viewpoints, which is likely a consequence of how most of its training data contains bland observations, he said. 
&#8220;Here you have guests describing a really negative experience, but the AI has decided to tone it down,&#8221; Brumby told <em>The Guardian</em>. 
&#8220;It&#8217;s as if it&#8217;s being polite. 
&#8221; 
Maybe this is by design. 
Chatbots are infamously sycophantic, tending to agree with the user on top of plying them with flattery. 
Their safeguards could also push them away from broaching darker topics like sexual harassment, even if that info would be crucial for wary travelers. 
Tripadvisor, in a statement to <em>The Guardian</em>, said it automatically suppresses AI summaries for locations that have received complaints about serious safety incidents, including death, drugging, and sexual assault, adding that it&#8217;s &#8220;looking into the examples where reviews did not match the intended property. 
&#8221; Still, it maintains it&#8217;s confident that its AI features &#8220;are delivering exactly what they were designed to do: help travellers quickly understand the breadth of feedback while making it easy to explore the underlying reviews in full. 
&#8221; 
This isn&#8217;t the only example of how AI can sabotage tourists, <a href="https://www.globalrescue.com/common/blog/detail/artificial-intelligence-ai-travel-planning/" rel="noreferrer" target="_blank">nearly a quarter of whom now rely on it for trip planning</a>. 
AI chatbots have been <a href="https://futurism.com/artificial-intelligence/ai-hallucination-landmarks-tourists">sending travelers to hallucinated locations</a> and putting their safety at risk, such as a pair of Peruvian hikers in the Andes who were turned around by an experienced tour guide when he realized they were in search of a nonexistent &#8220;sacred canyon&#8221; dreamed up by an AI. 
If you want to know your fellow humans&#8217; honest thoughts on something, best not let it be conveyed to you by a mealy-mouthed machine. 
<strong>More on AI:</strong> <em><a href="https://futurism.com/artificial-intelligence/workplaces-bizarre-ai-back-and-forth">Workplaces Have Gotten So Bizarre That People Are Just Sending AI Slop Back and Forth at Each Other</a></em> 
Article reasoning-pattern comparisonThis article: 8.0%Frank Landymore: 4.4%Futurism: 6.1%Confirmation Bias8.0%This article: 0.0%Frank Landymore: 0.9%Futurism: 1.6%Anchoring Bias0.0%This article: 17.6%Frank Landymore: 5.8%Futurism: 6.2%Availability Heuristic17.6%This article: 8.4%Frank Landymore: 1.5%Futurism: 1.5%Representativeness Heuristic8.4%This article: 0.0%Frank Landymore: 0.6%Futurism: 0.6%Hindsight Bias0.0%This article: 5.4%Frank Landymore: 1.9%Futurism: 2.7%Overconfidence Bias5.4%This article: 1.9%Frank Landymore: 10.6%Futurism: 11.3%Framing Effect1.9%This article: 0.0%Frank Landymore: 0.5%Futurism: 1.2%Loss Aversion0.0%This article: 0.0%Frank Landymore: 0.5%Futurism: 0.7%Status Quo Bias0.0%This article: 0.0%Frank Landymore: 0.0%Futurism: 0.2%Sunk Cost Effect0.0%This article: 0.0%Frank Landymore: 1.4%Futurism: 2.2%Optimism Bias0.0%This article: 10.6%Frank Landymore: 2.9%Futurism: 4.4%Pessimism Bias10.6%This article: 49.1%Frank Landymore: 20.9%Futurism: 22.5%Negativity Bias49.1%This article: 11.7%Frank Landymore: 1.1%Futurism: 1.6%Self-Serving Bias11.7%This article: 0.0%Frank Landymore: 1.6%Futurism: 1.2%Fundamental Attribution Error0.0%This article: 0.0%Frank Landymore: 0.2%Futurism: 0.2%Actor-Observer Bias0.0%This article: 0.0%Frank Landymore: 0.3%Futurism: 0.6%In-Group Bias0.0%This article: 0.0%Frank Landymore: 0.2%Futurism: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.0%Frank Landymore: 0.8%Futurism: 1.1%Halo Effect0.0%This article: 0.0%Frank Landymore: 0.9%Futurism: 0.6%Horn Effect0.0%This article: 0.0%Frank Landymore: 0.0%Futurism: 0.1%Dunning-Kruger Effect0.0%This article: 3.7%Frank Landymore: 2.1%Futurism: 2.1%Recency Bias3.7%This article: 0.0%Frank Landymore: 0.3%Futurism: 0.5%Primacy Effect0.0%This article: 0.0%Frank Landymore: 0.1%Futurism: 0.1%Blind-Spot Bias0.0%This article: 3.4%Frank Landymore: 1.0%Futurism: 1.4%Ad Hominem3.4%This article: 0.0%Frank Landymore: 0.1%Futurism: 0.7%Straw Man0.0%This article: 24.5%Frank Landymore: 5.5%Futurism: 6.8%Appeal to Authority24.5%This article: 11.7%Frank Landymore: 2.5%Futurism: 2.6%False Dilemma11.7%This article: 3.4%Frank Landymore: 1.2%Futurism: 2.5%Slippery Slope3.4%This article: 0.0%Frank Landymore: 0.1%Futurism: 0.1%Circular Reasoning0.0%This article: 17.7%Frank Landymore: 9.7%Futurism: 10.5%Hasty Generalization17.7%This article: 8.0%Frank Landymore: 1.0%Futurism: 1.0%Red Herring8.0%This article: 0.0%Frank Landymore: 1.0%Futurism: 1.1%Bandwagon0.0%This article: 6.6%Frank Landymore: 8.2%Futurism: 9.5%Appeal to Emotion6.6%This article: 4.0%Frank Landymore: 1.1%Futurism: 1.5%Begging the Question4.0%This article: 10.9%Frank Landymore: 5.1%Futurism: 4.0%Post Hoc (False Cause)10.9%This article: 0.0%Frank Landymore: 0.3%Futurism: 0.2%Tu Quoque0.0%This article: 4.7%Frank Landymore: 1.0%Futurism: 1.1%Burden of Proof4.7%This article: 0.0%Frank Landymore: 0.6%Futurism: 0.4%Appeal to Nature0.0%This article: 4.4%Frank Landymore: 0.4%Futurism: 0.3%Composition/Division4.4%This article: 17.5%Frank Landymore: 5.1%Futurism: 4.4%Anecdotal17.5%This article: 0.0%Frank Landymore: 0.0%Futurism: 0.1%No True Scotsman0.0%This article: 7.4%Frank Landymore: 3.2%Futurism: 2.7%Ambiguity (Equivocation)7.4%This article: 0.0%Frank Landymore: 0.0%Futurism: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Frank Landymore: 0.1%Futurism: 0.2%Middle Ground0.0%This article: 0.0%Frank Landymore: 0.1%Futurism: 0.1%Personal Incredulity0.0%This article: 0.0%Frank Landymore: 0.1%Futurism: 0.3%Special Pleading0.0%This article: 0.0%Frank Landymore: 0.3%Futurism: 0.3%Genetic Fallacy0.0%This article: 17.6%Frank Landymore: 4.3%Futurism: 3.9%Unattributed Quote17.6%This article: 11.7%Frank Landymore: 2.2%Futurism: 2.6%Quote-first Misdirection11.7%This article: 45.5%Frank Landymore: 17.6%Futurism: 20.7%Biased Writer Voice45.5%This article: 15.9%Frank Landymore: 2.2%Futurism: 2.1%Indoctrination15.9%This article: 0.0%Frank Landymore: 0.2%Futurism: 2.3%Politically Left Leaning Bias0.0%This article: 0.0%Frank Landymore: 0.0%Futurism: 0.3%Politically Right Leaning Bias0.0%This article: 8.9%Frank Landymore: 1.2%Futurism: 1.6%Attempt to Sell a Product or S…8.9%

699 words analyzed.

Speakers

5speakers42%attributed speech404writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 13 words • 100.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageThe Guardian • 40 words • 100.0% coverageWhich? • 36 words • 100.0% coverageWriter's voice • 34 words • 100.0% coverageWriter's voice • 1 words • 0.0% coverageRory Boland • 22 words • 100.0% coverageThe Guardian • 8 words • 0.0% coverageRory Boland • 33 words • 100.0% coverageRory Boland • 1 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 56 words • 100.0% coverageWriter's voice • 28 words • 100.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 19 words • 100.0% coverageDuncan Brumy • 43 words • 100.0% coverageDuncan Brumy • 22 words • 100.0% coverageDuncan Brumy • 6 words • 0.0% coverageDuncan Brumy • 1 words • 0.0% coverageWriter's voice • 5 words • 100.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 24 words • 0.0% coverageTripadvisor • 44 words • 100.0% coverageTripadvisor • 38 words • 100.0% coverageTripadvisor • 1 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 52 words • 100.0% coverageWriter's voice • 24 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverage
Selected voice

The Guardian

83%flagged-word coverage
48 attributed words16% of attributed speech99% writer coverage
0%42.5%85.0%Attempt to Sell a Product +77.9 ptsWriter: 5.4%The Guardian: 83.3%83.3%Biased Writer Voice+23.4 ptsWriter: 59.9%The Guardian: 83.3%83.3%Indoctrination-19.3 ptsWriter: 19.3%The Guardian: 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.