Originality.AI looked at 8,885 long Facebook posts made over the past six years.
Key Findings
- 41.18% of current Facebook long-form posts are Likely AI, as of November 2024.
- Between 2023 and November 2024, the average percentage of monthly AI posts on Facebook was 24.05%.
- This reflects a 4.3x increase in monthly AI Facebook content since the launch of ChatGPT. In comparison, the monthly average was 5.34% from 2018 to 2022.
how tf did it take 6 years to analyze 8000 posts
I pretty sure they selected posts from a 6 year period, not that they spent six years on the analysis.
I can’t even fathom how they would go about testing if it’s an AI or not. I can’t imagine that’s an exact science either.
In that case, how/why did they only choose 8000 posts over 6 years? Facebook probably gets more than 8000 new posts per second.
Every study uses sampling. They don’t have the resources to check everything. I have to imagine it took a lot of work to verify conclusively whether something was or was not generated. It’s a much larger sample size than a lot of studies.
The study is by a company that creates software to detect AI content, so it’s literally their whole job
(it also means there’s a conflict of interest, since they want to show how much content their detector can detect)
It’s an extremely small proportion of the total number of Facebook posts though. Nowhere near enough for statistical significance.
I was wondering how far I’d have to scroll before getting to someone who doesn’t understand statistics complaining about the sample size…
There’s likely been trillions of posts on Facebook during that time frame. Is a sample size of 8000 really sufficient for a corpus that large?
Have you ever heard of “margin of error”?
Learn statistics, it’s actually super informative.