One of my current favorite substacks: this author just takes a random selection of Weibo posts every day and translates them to English, including providing copies of all the videos. Weibo is sort of like “Chinese Twitter”.
One of my most consistently read newsletters! H/T to @JS Denain for recommending this newsletter to me a while ago :)
You might like https://www.whatsonweibo.com/ (although it is popular enough you may have already encountered it). If I remember correctly, it is mainly just run by one woman, an academic from… some European country (I can’t remember off the top of my head).
How do they find posts? Is it literally randomized from the entire set of posts or is there some kind of selection bias?
(Edit: I read a few posts and it seems like a lot of it is the author inserting their own commentary, with a general focus on hot-button issues, so I’m hesitant to subscribe, though I like the concept)
I don’t think there’s a lot of author exposition? Maybe you clicked on the pinned post, which on a quick skim seems more exposition heavy than the others? e.g. scrolling through this quickly, it’s mostly direct quotes.
I’m sure there’s some bias in terms of which posts get selected + which follow up comments get highlighted, and I haven’t investigated the author at all. I have no idea how the posts are getting selected, I wouldn’t assume this is an unbiased learning-focused news source. This is mostly for fun for me :)
One of my current favorite substacks: this author just takes a random selection of Weibo posts every day and translates them to English, including providing copies of all the videos. Weibo is sort of like “Chinese Twitter”.
One of my most consistently read newsletters! H/T to @JS Denain for recommending this newsletter to me a while ago :)
You might like https://www.whatsonweibo.com/ (although it is popular enough you may have already encountered it). If I remember correctly, it is mainly just run by one woman, an academic from… some European country (I can’t remember off the top of my head).
How do they find posts? Is it literally randomized from the entire set of posts or is there some kind of selection bias?
(Edit: I read a few posts and it seems like a lot of it is the author inserting their own commentary, with a general focus on hot-button issues, so I’m hesitant to subscribe, though I like the concept)
I don’t think there’s a lot of author exposition? Maybe you clicked on the pinned post, which on a quick skim seems more exposition heavy than the others? e.g. scrolling through this quickly, it’s mostly direct quotes.
I’m sure there’s some bias in terms of which posts get selected + which follow up comments get highlighted, and I haven’t investigated the author at all. I have no idea how the posts are getting selected, I wouldn’t assume this is an unbiased learning-focused news source. This is mostly for fun for me :)