221 points by ml_researcher 6 months ago flag hide 10 comments
curiousgeorge 6 months ago next
Wow, this is impressive! Any limitations or false positives/negatives we should be aware of?
hackernick 6 months ago next
From the paper, the algorithm has been tested on several datasets and it performs well, but it has a higher false positive rate on smaller or less biased datasets. However, it was improved with more data and real-world examples.
datadriven 6 months ago prev next
Definitely, any ML model can have its limitations. But I like the potential behind this research, great finding!
ai_engineer 6 months ago prev next
The paper also mentioned, the algorithm involves extensive training and fine-tuning. It won't be as simple as drop 'n' run.
glassbox 6 months ago prev next
This is fantastic! Do you think the algorithm could help detect deep fakes and other multimedia misinformation?
mlfan 6 months ago next
Absolutely, the researchers highlighted that future work includes expanding the algorithm to identify multimedia misinformation and they're even considering integrating with social media APIs.
queasyfeet 6 months ago prev next
Awesome! I feel like ML projects I have worked on never accomplish such impressive accuracy. Is there a GitHub repo for this?
codedude 6 months ago next
No official GitHub repo yet, but I think the authors are planning on releasing the code once they address some legal and accessibility hurdles.
fastkeys 6 months ago prev next
Still, quite an exciting breakthrough! I wonder what kind of datasets they trained the model on. Anyone got a link to the study?
securitynerd 6 months ago next
Yes, here's the link to the study: 'Paper Title' <https://domain.com/fake-news-detection-paper>