Like Nobody Else
ah interesting, nested replies in reverse cronological order (newer first) may confuse the discussion...
In this screenshot, my "agree" comment was directed to @mayel first comment (see the date time), while instead in this visualisation seems referred to @lne comment (that was more recent than my reply)
@ivan I agree (couldn't resist: now hoping for more comments to your post)
@lne super interesting, wondering if it is a valid metric though and in which ways it may have privacy implication ? A thread may have a lot of flagged activities because it talks about a complex topic (covid, politics, religion, gender ...) and users want to properly moderate it, on the contrary a thread without flagged activities may be just not moderated at all and being full of trolls ?
Maybe we can show a label only when the amount of flags exceed a certain amount (eg. after 30 flags on the whole thread) - as an indication 🤔
@ivan
> which ways it may have privacy implication ?
My intuition is that the number of flags in a thread would have the same privacy implications as any other aggregated metric (#posts, #likes, #people,...). Discourse folds flagged posts, which should have about the same privacy implications as showing the number of likes.
Or am I missing something?
@lne super interesting, wondering if it is a valid metric though and in which ways it may have privacy implication ? A thread may have a lot of flagged activities because it talks about a complex topic (covid, politics, religion, gender ...) and users want to properly moderate it, on the contrary a thread without flagged activities may be just not moderated at all and being full of trolls ?
Maybe we can show a label only when the amount of flags exceed a certain amount (eg. after 30 flags on the whole thread) - as an indication 🤔
> wondering if it is a valid metric though ... A thread
> may have a lot of flagged activities because it talks
> about a complex topic (covid, politics, religion, gender ...)
I agree, many flags could mean different things depending on the topic and the community.
On the other hand, couldn't that also be said about other metrics to some extent? I mean in the sense that before jumping in, I need to use my judgement based on general context (e.g knowledge of the community) and topic title, avatar list, available metrics, etc.
Interesting things can be learnt from threads on hot or complex topics, or where a different set of people engage, and I don't mind being part of community moderation. It's just that being the umpteenth person attempting to get a derailed thread back on track feels like I'm wasting my energy.
In a functional community this is just the odd thread, though, so probably less of a concern for the kind of thing Bonfire aims for?
At present, our discussion page lacks any statistical data about the thread, a feature that is pretty common in most of social networks or forums. These platforms typically display a total count of replies, boosts, likes, and participants.
Take Discourse as an example, a platform with a great UX for productive conversations. Discourse displays the list of links shared in a post and provides a statistical box that details thread engagement. This includes also an approximation of the time required to read through the entire thread, if significant.
What are some meaningful statistics we must/should incorporate for the Bonfire 1.0 release? We are seeking to find statistics that can effectively foster engagement in discussions without solely promoting addictive behaviors. Any thoughts or suggestions ? #bonifre_feedback
@ivan Maybe show the number of flagged/reported posts?
Usually when I see many posts being flagged it's a sign of the thread going wildly off-topic or even attracting bad actors. I then stay away from that discussion. However, e.g. in Discourse I won't know until I have read through the posts. Having that metric on the top post would help me spend my time and engagement elsewhere.
Thinking of risks, maybe showing flag stats would attract more of the same? I would hope not in an otherwise functional community, but some people seem to gather around car crashes or houses on fire.
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