SIPS is not the same as #openscience. I now see where the confusion stems from...
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Replying to @o_guest @Sam_D_Parsons and
So I think Sam is equating the two here as people keep doing that – see the outrage at that (bad) chronicle article, or one of the replies to the original tweet of this thread. If people don’t see them as the same(ish), they should just join SIPS as a movement and leave OS be
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Replying to @cruwelli @Sam_D_Parsons and
I like openscience it's a beautiful movement. This is why I want it to be healthy.
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My main worry is that some of these exchanges are putting off people from OS. Not just because of bad actors but because of suggestions that the wider OS community is hostile because of this or a perceived acceptance of hostility. As you said before lots of nuance lost on twitter
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Replying to @Sam_D_Parsons @cruwelli and
That's not what I get in my DMs. People see the bullies and ask me what the fuck.
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Replying to @o_guest @Sam_D_Parsons and
It seems to be the nature of twitter (and FB), the way it's designed, that inflammatory posts (including bullying) get more attention than other stuff. So we need better social media platforms.
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Replying to @ceptional @o_guest and
Uh, we also need to call out the bullying, right? Now it sounds as if we merely need to shift the attention away from it, in the service of OS image we turn a blind eye?
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Replying to @IrisVanRooij @o_guest and
No, I wasnt' saying that. I do think it should be called out. Just that occasional twitter users get the wrong impression of bullying being more representative, due to the algorithms.
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Replying to @ceptional @o_guest and
I think the opposite is the case here. It seems that many users do *not* see the bullying or harassment happening, and individuals suffer. And even in this thread it was questioned that it was really happening.
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Replying to @IrisVanRooij @o_guest and
Ah ok, interesting point. Still, on average (as reflected in the Chronicle article), seems that both social media and click-driven journalism over-emphasises the bullying, but I could be wrong.
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How do you measure "on average" here?
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