It is not “in the whole fediverse”, it is out of approximately 325,000 posts analyzed over a two day period.
And that is just for known images that matched the hash.
Out of approximately 325,000 posts analyzed over a two day period, we detected
112 instances of known CSAM, as well as 554 instances of content identified as
sexually explicit with highest confidence by Google SafeSearch in posts that also
matched hashtags or keywords commonly used by child exploitation communities.
We also found 713 uses of the top 20 CSAM-related hashtags on the Fediverse
on posts containing media, as well as 1,217 posts containing no media (the text
content of which primarily related to off-site CSAM trading or grooming of minors).
From post metadata, we observed the presence of emerging content categories
including Computer-Generated CSAM (CG-CSAM) as well as Self-Generated CSAM
(SG-CSAM).
It is not “in the whole fediverse”, it is out of approximately 325,000 posts analyzed over a two day period.
And that is just for known images that matched the hash.
Quoting the entire paragraph:
How are the authors distinguishing between posts made by actual pedophiles and posts by law enforcement agencies known to be operating honeypots?