I wonder if Twitter data (e.g., follows, engagement) would replicate some of these distinctions in terms of clustering, and if it might show areas of common cross-pollination? (Of course, there may be some representativeness issues with some groups, but it’d still be interesting or at least “amusing.”)
Oh yeah, there’s clustering networks showing mutual followers of e.g. Twitch streamers, it shouldn’t be too hard to make this for the EA sphere on twitter.
I’d be very curious to see something like this. My guess is it will be hard to extract the type of vague cultural currents I’m talking about from other distinctions that might exist in the data, like people focusing on different cause areas, or from different parts of the political spectrum.
I wonder if Twitter data (e.g., follows, engagement) would replicate some of these distinctions in terms of clustering, and if it might show areas of common cross-pollination? (Of course, there may be some representativeness issues with some groups, but it’d still be interesting or at least “amusing.”)
Oh yeah, there’s clustering networks showing mutual followers of e.g. Twitch streamers, it shouldn’t be too hard to make this for the EA sphere on twitter.
I’d be very curious to see something like this. My guess is it will be hard to extract the type of vague cultural currents I’m talking about from other distinctions that might exist in the data, like people focusing on different cause areas, or from different parts of the political spectrum.