Show HN: Factifi – Real-Time Fact-Checking Content(chromewebstore.google.com)
chromewebstore.google.com
Show HN: Factifi – Real-Time Fact-Checking Content
https://chromewebstore.google.com/detail/factifi-ai-powered-real-t/ancncpgncdaicilplhhenaonpljlfmll
24 comments
What does it conclude about the full and complete comment histories of these three accounts?
* https://news.ycombinator.com/threads?id=ka2429
* https://news.ycombinator.com/threads?id=shrishti12
* https://news.ycombinator.com/threads?id=AddySmith2410
Is there are word to describe that behaviour?
* https://news.ycombinator.com/threads?id=ka2429
* https://news.ycombinator.com/threads?id=shrishti12
* https://news.ycombinator.com/threads?id=AddySmith2410
Is there are word to describe that behaviour?
Thanks for proving our point for us. People will do whatever they want. Some of us are smart enough to check the truth, but most of us are not. There’s a need for fact checking and hopefully, people can come to a consensus on that.
Can you expand more on what "proprietary datasets" means...? Where are the research papers pulled from?
Edit: it's also immediately obvious the number of brand new accounts that are engaging in the comments here with generic comments.
Edit: it's also immediately obvious the number of brand new accounts that are engaging in the comments here with generic comments.
Okay, firstly you we use SEC and a few other datasets from Google and similar datasets. We filter them based on credibility. The research papers are pulled from a corpus called Semantic Scholar which is pretty high quality. We also do ArXiv and PubMed.
Can users see why a claim was marked true/false — like a list of top supporting sources?
Can it also check "Show HN" posts with suspicious amounts of simple replies made by suspiciously-new user accounts?
lol we’re trying to prove that the internet is biased.
Astro-turfing your own Show HN post is not the way to go about it.
Biased towards what is the far more important question
Biased towards whatever the hell someone wants to portray. Truth is no longer displayed, what’s displayed is only what you want. HN is one of the better platforms and so you can tell. What about the others where bots dominate?
Sounds interesting, can you tell me more about the claim generation?.
We use some peer reviewed methods to identify questionable claims.
How is your model able to identify deepfaked images??
How long does it take for a claim to be verified?
This is cool! Unique idea
Can it be integrated with social media platforms? Since that is where most misinformation is circulated
[deleted]
We were constantly pausing podcasts and Substack posts to ask, “Wait, is that actually true?”. After too many 30-minute Google rabbit holes, we decided to automate the work.
What it does
• Extracts claims from articles, blogs, YouTube videos (and even images) • Assigns a verdict + confidence score using live web search, a 200 M-paper research index, and a few proprietary datasets • Flags likely deepfakes and manipulated images • Runs entirely in your browser — only the claim snippets leave your machine for scoring
Status
• Free during early access (no wait-list) • Read more here (factifi.me/blog)
Looking for feedback on
• Accuracy thresholds (where should we draw “unverified” vs. “false”?) • UX friction — what feels clunky? • Ideas for new features
Happy to answer anything in the comments—thanks for taking a look!