LinkedIn should have a better String-truncating Algorithm

I think String-truncating algorithm is quite important. Because some words will have a totally different meaning when you accidentally precise in removing the trailing letters.

I think this could be the best example of when things go wrong. I saw it on my LinkedIn page:

Names are hidden to protect the innocent(s)

A simple check to the truncated string, whether it ends with a face-blushing word or not, should be sufficient.

Worth sharing ?

 

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