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# Auto-Correct Fails
'Damn You Auto Correct' Captures Unintended iPhone Text Miscues

By Matt Ho | Published 2010-11-14 | Tech
Source: Trend Hunter, https://www.trendhunter.com/trends/funny-iphone-texts-failures
References: [damnyouautocorrect](http://damnyouautocorrect.com/)

While the auto-correct function on the [iPhone](https://www.trendhunter.com/trends/texttheinternet) serves with good intentions, it doesn't always work out. 'Damn You Auto Correct' is dedicated to the failures of the auto-correct system on the iPhone. What you get are [hilarious messages](https://www.trendhunter.com/trends/absurd-content) with words that have been "corrected" but make absolutely no sense.

Some of the corrected vocabulary end up implying dirty and vulgar messages, while other texts seem to make up words that make no sense at all. Check out the site to see some more hilarious texts that people send in everyday, and consider sending one yourself if you own an iPhone.

## Trend Insights (Trend Hunter)

- Score: 6.4/10
- Popularity: 91% | Activity: 92% | Freshness: 8%
- Audience gender: 70% men, 30% women
- Primary generations: Gen Z, Millennial, Gen X
- Top markets: North America, Europe

## Categories

[Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [Mobile](https://www.trendhunter.com/mobile)

## Key Themes

### Key Themes Behind This Trend

- **Smartphone Auto-correct:** Opportunity for developing advanced auto-correct algorithms to minimize errors and improve user experience.
- **Humorous Messaging Apps:** Create a messaging app that intentionally generates funny and absurd autocorrected messages for entertainment purposes.
- **Machine Learning in Text Correction:** Utilize machine learning algorithms to better understand user typing patterns and provide accurate auto-corrections.

### Where This Applies

- **Mobile Technology:** Incorporate innovative auto-correct algorithms into mobile devices to enhance the messaging experience.
- **Entertainment:** Develop humorous messaging apps that leverage auto-correct failures for comedic purposes.
- **Artificial Intelligence:** Apply machine learning techniques to improve auto-correct accuracy and efficiency across various text-based platforms.

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