politics
Welcome to the discussion of US Politics!
Rules:
- Post only links to articles, Title must fairly describe link contents. If your title differs from the site’s, it should only be to add context or be more descriptive. Do not post entire articles in the body or in the comments.
Links must be to the original source, not an aggregator like Google Amp, MSN, or Yahoo.
Example:
- Articles must be relevant to politics. Links must be to quality and original content. Articles should be worth reading. Clickbait, stub articles, and rehosted or stolen content are not allowed. Check your source for Reliability and Bias here.
- Be civil, No violations of TOS. It’s OK to say the subject of an article is behaving like a (pejorative, pejorative). It’s NOT OK to say another USER is (pejorative). Strong language is fine, just not directed at other members. Engage in good-faith and with respect! This includes accusing another user of being a bot or paid actor. Trolling is uncivil and is grounds for removal and/or a community ban.
- No memes, trolling, or low-effort comments. Reposts, misinformation, off-topic, trolling, or offensive. Similarly, if you see posts along these lines, do not engage. Report them, block them, and live a happier life than they do. We see too many slapfights that boil down to "Mom! He's bugging me!" and "I'm not touching you!" Going forward, slapfights will result in removed comments and temp bans to cool off.
- Vote based on comment quality, not agreement. This community aims to foster discussion; please reward people for putting effort into articulating their viewpoint, even if you disagree with it.
- No hate speech, slurs, celebrating death, advocating violence, or abusive language. This will result in a ban. Usernames containing racist, or inappropriate slurs will be banned without warning
We ask that the users report any comment or post that violate the rules, to use critical thinking when reading, posting or commenting. Users that post off-topic spam, advocate violence, have multiple comments or posts removed, weaponize reports or violate the code of conduct will be banned.
All posts and comments will be reviewed on a case-by-case basis. This means that some content that violates the rules may be allowed, while other content that does not violate the rules may be removed. The moderators retain the right to remove any content and ban users.
That's all the rules!
Civic Links
• Congressional Awards Program
• Library of Congress Legislative Resources
• U.S. House of Representatives
Partnered Communities:
• News
view the rest of the comments
I think you misunderstood my comment.
Anyways, I’ll wait.
Have fun!
[I had to switch to a larger compute instance]
@[email protected]
Ok, results are in. Firstly, just some preliminary stuff on your posting behavior. I only pulled your last 6k comments, which goes back to February. You caught me at a good time, because I had been working on parts of this for a while for some network analyses I'm working on looking at the relationship between moderation bias and community sentiment, so I had some of these tools just laying around.
It looks like you really got posting in around April, and hit your stride over summer. You've slowed down a bit since. Also, you tend post most frequently at about 19:00 GMT or 3PM EST/ 12 PST, and then again around midnight GMT, or about 8PM EST/ 5PM PST.
For this work, I'll be using some models from this paper: https://huggingface.co/papers/2409.02078, "Political DEBATE: Efficient Zero-shot and Few-shot Classifiers for Political Text". This tool allows me to set up hypotheses like the following.
multilabel entailment labels
The multilabel option determines if more than one hypothesis can be true for the document. If false, the most likely label is returned. If true, a dictionary of labels and their estimated probability is returned.
Below is the result of the hypothesis 'The author of this reply {} Biden.', with the two options: {h0: 'is talking about', h1: 'is not talking about'], where we accept h0 at >0.5
It appears that your posts mention Biden at a relatively uniform rate. Please note that we're in percent of posts, not count (as with the previous two figures), since your post frequency has changed over time. It seems like for any given week, 5-15% of your posts typically mention Biden.
So for the below analysis, I tested the hypothesis "The author of this reply {} Biden.", with h0 being "is supportive of" and h1 being "is in opposition to". I only performed this analysis that had a very high probability of being about Biden.
So, "generally" supportive, but not crazy. You started less supportive of Biden than you are now, but like I said, I only grabbed the previous 6k comments of yours. Generally you seem to be about 50/50 on Biden. Which is against my previous assumption, I thought you were more supportive of Biden (closer to 80-90%).
The next experiment I ran was the test (on all of your comments, not just the ones mentioning Biden) was the hypothesis "The author of this reply {} Biden.", with h0 being "is being abusive, or trolling." and h1 being "is being honest and genuine.". I ran this test on all comments.
Honestly, @SatansMaggotyCumFart@[email protected] , I think you can up your game. You've got ample headroom to live up to your legacy.
HOWEVER.. If we look at the same results for posts which are explicitly about Biden... we can see that you are trolling and abusive at a rate much higher than your background rate.
So there is your answer. Not as bad as I thought, but not great. Definitely an abusive troll when it comes to political discussions.
Some limitations about this approach. I want to expand it to include the context that a given comments sits in. Its fine for a cursory analysis like this to just use single comments, but context is key. I think we'll get much clearer signal/ noise with more context. Also, these conversations happen in a threaded manner. I need to develop a way of accounting for that. I'll probably pull some methods that I've used for network analysis for that component. But I got the major issues out of the way, and I can run these kinds of analysis for anyone on the fediverse. So for a preliminary step, its at least on its way to being sufficient to identify bad faith/ troll accounts.
Wtf?