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Its part of how the hypothesis is set up. You can read the paper I cited here: https://arxiv.org/abs/2409.02078
So specifically for that question the hypothesis “The author of this reply {} Biden.”, with h0 being “is being abusive, or trolling.” and h1 being “is being honest and genuine.”
And on your second point, since I've still got the data up, we can address that specifically. We'll address the following hypotheses. 'The author of this reply {}': 'is accusing someone of being a russian asset.', 'is accusing some one of trolling.', 'is accusing someone of being a bot.', 'is accusing someone of engaging in bad faith', 'is having a normal conversation'.
Only if you lack reading comprehension.
No, you’re pretty much stating you created a tool to detect trolling better than any tech company has and you’re using it on me.
Or you’re just drawing random graphs.
You’re trying to say 50% of my comments are accusing people of arguing in bad faith?
I think I’d test the model if I were you.
Sorry I should have been more clear. That was for the "high confidence that the conversation is around Biden" cohort of comments. So within a subset of about 5% of your overall number of comments., so maybe 2.5 - 5% of comments in total you are making one of these kinds of accusations, or about 1:20 or 1:40. I ran a frequency analysis, and at several points you just spam the same comment over and over again, so that might be skewing things. I'm not sure that should be filtered out, because it is trolling.
And yes, I think more testing is required, but most importantly, I think I need to get more of a context window around comments. I want to do this using the whole comment chain or thread. That gets more complicated because now you have 'identities' (speaker A, speaker B, C.. etc), which is where the graphical approach is going to show its benefits. Again, work for another time. At least at a first pass, a few minutes of work adjacent to some other work I'm doing level of effort, its more than sufficient to make my point.
Ok.
I’d be selling it to Google, Facebook or Reddit for many millions but keep using your amazing moderation tool on me buddy.
I’m curious what would happen if you use it on UniversalMonk?
But I almost guarantee there’s a reason why you can’t or won’t.
I'm putting dinner together but I'd be happy to run UM if you would like me to. In exchange would you read the paper so you can understand how the sentiment analysis works? Its important for hypothesis testing. You need to set up good hypotheses for this to be effective.I'm going to down load their comment database now. You work on coming up with some hypotheses.
@satansmaggotycumfart@SatansMaggotyCumFart@lemmy.world
I'm downloading the data and will save it to disk, but am about to sit down to dinner. I'll save the output and either drop the hypotheses you want to test here or dm me, but I may not respond tonight.
Oh, that’s the reason you won’t, right?
Because I’m not a computer scientist so I can’t understand the sentiment analysis and come up with appropriate hypotheses?
You were able to for me so why aren’t you able to again?
The fuck are you talking about. I literally said I was doing it in my response.
Bruh this is why you come up as a troll in so much of your comments.
Maybe work on your reading comprehension.
I’m glad you proved my point that you are unwilling or unable to perform the same analysis that you claimed you did on me.
I'm literally setting up for that right now, and for the third time you are accusing of not doing exactly what I'm trying to do for you. It takes a while to download all the comments. I'll let you know when I have them.
That’s the part you might be having troubles with.
I’ve tried telling you that a couple times now.