Persistent interaction patterns across social media platforms and over time
nature.com
nature.com
"We also show that some online conversation features have remained consistent over the past three decades despite the evolution of platforms and social norms." and "Our findings suggest that the polarization of user opinions—intended as the degree of opposed partisanship of users in a conversation—may have a more crucial role than toxicity in shaping the evolution of online discussions."
This is something I've noticed too, as a former participant of a tiny social media site originally forked from Hackernews. Different political opinions and a controversial subject can make for a really unpleasant place, and without any sort of real-life connection, everything is so abstracted that it's hard to be respectful. People on that site that I know are usually good commenters got toxic, I try very hard not to be toxic and had to leave when I couldn't.
Moral is, theres some anecdotal proof for the conclusion , and it does make me wonder that maybe the reason facebook / twiter / etc. is so toxic isn't due to being milked for engagement. Or at least, that that's not as big a factor as I thought. And this seems like it could have some implications on how to make for a pleasant fediverse.
This seems to be incredibly subjective.
According to this, "toxic" content could include a serious discussion about contentious subject matter, a terse comment, or even a off-color joke.
To your expanded definition: there's plenty of 'contentious' discussions that could happen on Hackernews for example and I'm very glad that dang's excellent moderation and the community culture as a whole prevents them from overwhelming everything else as much as possible. Some subjects have the tendency to be very passionate and personal and to take over spaces when they appear, and letting every thread devolve into those topics makes for an unpleasant place.
But the original definition requires it be "rude, disrespectful or unreasonable". So I don't think a controversial topic is necessarily toxic by their definition, though some topics tend to turn toxic very fast.
These adjectives all pretty uncontroversially negative. The HN guidelines say "Be kind. Don't be snarky". Saying that a rude comment is toxic is just correct. If your terse comment or off-color joke is rude or unreasonable it Is toxic and you probably shouldn't say it.
Similarly, the most toxic, awful and mean insults can be non-toxic by this definition if they happen between good friends or simply people with very thick skin who won't leave no matter what. (either due to the relationship or simply due to their desire to prove their point)
This study operated on a flawed definition, so the conclusions are biased in quite a strong way.
Also, as other users ITT mentioned, this study uses platforms where posting is heavily censored, either as a global action by the site or by the room's admins (in case of Reddit, FB groups and Telegram). This does not account for the chilling effect - the opposite side won't leave the conversation because they couldn't/didn't want to join in the first place!
So many utter echochambers with really toxic behaviours (e.g. the FDS subreddit) would be classed as non-toxic because all participants have the same viewpoint - the targets of the toxicity are outsiders to the community.
"This entails, for example, that even if toxicity does not seem to make people leave conversations, it could still be a factor that discourages them from joining them."
They also agree that the effects of the moderation impact the data set, and this is mentioned. That's part of why they tried to include many different sites which may have different policies and even so it's cited as a potential problem.
What, specifically, from the conclusions do you think is wrong?
I also think you are misunderstanding what the criteria is. It is not comments that cause someone to leave in that specific instance (something there's not data for anyways), but comments that are declared toxic according to a ML model where the idea is to find comments likely to repel others due to being rude or unreasoanable, regardless of the actual effect. This is kinda squishy and objectionable too, but not in the way that you're saying so I figured it was worth clarifying
Please be aware that your comment has been marked by the API as 'toxic' due to an overt generalized assumption.
/s
This doesn't make for a good discussion. There's no easy way to respond to this other than being defensive or adding more snark. It is a discussion ender and if all hackernews comments were like this I would leave the site.
What if it is objectively true?
Is there some magic dust that renders humans necessarily good/smart, or might it be possible that you are grading on a curve, as you have been trained to do by humans?
If there are problems and people refuse to even acknowledge them let alone address them, they deserve what they get imho.
I imagine a lot of innocent people get caught up in the harm, but how would one determine who is objectively innocent?
Your comment is itself an example of how to respond to this without being defensive or snarky.
Climate change is never having any sort of healthy debate on reddit or gab for example. It's 1 sided discussion in echo chambers(in this case opposing sides) and therefore toxicity should be expected to be 0.
> For the vaccines topic, we collected about 70,000 comments from the r/VaccineDebate subreddit, focusing on the COVID-19 vaccine debate.
except for the part where you check this out. https://www.reddit.com/r/VaccineDebate/
They have 152 members and no activity for 4 years.So what's this about 70,000 comments of curation against antivaxxers. Reddit quite regularly banned anyone antivaxxer for 'medical misinformation'
They aren't measuring toxicity at all in this case for example.
You don't want the "idiot" to win by default.
I hope HN never gets that "feature".