Twitter launched its topics feature almost two years ago to group tweets under different interest categories. It’s nice to see tweets or news on topics that I care about on my timeline.
However, sometimes the social network’s tagging goes horribly wrong. The funniest example I’ve seen is of the algorithm tagging cat pictures under dog topic (and vice versa). Here are some examples:
I do so hate the Twitter algorithm suggestions, but this one takes the prize for perfect stupidity in highlighting that it's wrong: a picture of a cat in the Twitter feed of the cat, with cat in the name, beneath 'Dogs Follow Topic'. Why do I even use this website? pic.twitter.com/032IKKXKnw
— David Norman (@davidnorman) April 17, 2021
my twitter is broken that's a dog not a cat what's it doing in the cat topic oml pic.twitter.com/cr8EttR2lk
— ryshi (@ryshinori) July 13, 2021
— charli xxl (@glitterysoylent) November 16, 2021
What the heck, Twitter!?
That’s a cat! Not a dog!!😂😂
They put that kitty under the Dog’s tag. pic.twitter.com/w7aDKQNplk
— B.E.Sexton (@BESexton91) November 16, 2021
now why did twitter put dogs under the cats topic 😭 pic.twitter.com/u9je2WETxo
— maney (@bhyunsolo) April 5, 2021
I asked the company about this mismatch. And in a statement, Twitter admitted that its algorithm makes blunders sometimes:
Topics help customers discover their interests and find great conversations about the things they care about. We use a variety of signals to classify Tweets into Topics, and we know that sometimes we get it wrong. We’re continuously improving our systems and appreciate feedback like this to help us get better.
Sure, I get it. AI is not perfect, and it might have some glitches in identifying objects. But haven’t researchers been working on identifying cats and dogs for years now?
The algorithm might slip in categorizing text-based tweets as it might fail to contextualize tweets. But differentiating cats and dogs in a picture should be more straightforward.
If you look at the tweets above, Twitter has been confused between cats and dogs for quite a few months now. So it’s a bit baffling that it hasn’t tweaked the algorithm.
It’s all fun and games till the company is just mixing up cats and dogs, but given its algorithms have been accused of white bias in past, it should be tweaked before it wrongfully tags more serious topics.