We'd like to introduce biaskllr/AI, a tool that uses AI to identify the presence of bias patterns & biased language in media.
learn more in our video. We invite you to check out our report archive at: https://t.co/r6RTl0efaf
Updated Daily!
#AI #Technology #medialiteracy
The Media Bias Data We’re Collecting at @biaskllrAI
This week we’ll get to pull a full month of bias data from biaskllr/AI and I can’t wait to see where it lands. We’re still finding our way around getting it connected to a good BI tool, but we’re rapidly building out data on bias found within the media.
Some are undoubtedly exactly what we anticipate, but the previews we’ve seen so far showed a few surprises.
One of the keys is we’ll be figuring out not just who you should and should not trust, we’ll know on which topics it matters.
For example, things that don’t tightly intertwine with politics seem to be scoring better for most sites. Coverage of hurricanes, day-to-day crime, most local news seem to be generally good. Nothing’s perfect, but good.
We’ll also be able to release ranked average scores for those who hit a minimum analysis threshold. In addition, we’ll have a list of the cleanest articles — to help people recognize quality journalism. But there will also be a list of the worst.
It will ruffle some feathers, but we’ll run whatever the data says.
A big part of this mission is the help people see through the bias in the information we take in. That’s not just news, but memes and YouTube and speeches etc.
If you haven’t, please take a few and check the tool out. There’s a true freemium version, and the more articles users analyze between now and 11:59pm on Sept 30, the more useful the data will be. :)
Link in comment below 👊🏼
A note from our founder @CoreyNoles today about division in our society, and how we hope biaskllr can help — even on a small level.
Join us and help be a part of the solution.
Ever shared an article and immediately wished you could take it back? 😬
We’ve all been there!
With biasKLLR/AI, you can quickly spot any bias in an article before you hit that share button. No more accidental misinformation.
Try it for free with any article you want and see for yourself. 📰💡
https://t.co/Hp7ieqVcIj