Conversation

1. If distributed text annotation were done just right, would you be excited to use it? Definition: while reading a text, you can see what other people wrote about it at a ~paragraph granularity. "just right" likely includes filtering/sorting to remove low quality annotations

Would definitely need to be filtered to only people in my extended network / people I choose to “follow” (for lack of a better metaphor) Add on organised reading sessions focused on specific texts and I’m in (eg. 50 friends-of-friends all mob annotate X article in the same week)

If I could access everyone annotations on an article/book, there should be some way to allow opposing views. I wouldn't want only to read opinions within my bubble This would require a way to select an opposing view. I would want to read something clear and well presented.

If you choose to follow people you don't agree with this problem solves itself ;) But it's a fair concern. It's difficult to engage with a wide diversity of opinions if you don't know they exist. "Opposing" maybe not the right framing though - opinions aren't a linear spectrum

There are people who I don't follow on Twitter, but I still want to have on lists, because their opinion on a topic is important to me. Despite not being "following" it requires a certain introspection to able to surmount our personal bias and look for disagreeing opinions.

If there was a way for me to be exposed regularly to new/unusual/disagreeing opinion I believe I would grow to be more open minded person.

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Agree that's definitely important. Hard to figure out how to facilitate that using the conceptual models we're currently used to – eg. "following" "friending" A concept like like "degrees of difference" or connective distance might help. "Show me only people 6+ connections away"

11:52 AM · Dec 29, 2021Twitter Web App

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Concentric circles might be a useful mental model here. People you share many connections with/use similar language/discuss the same topics are the inner circle, and you move outwards from there. Also puts 6 degrees of kevin bacon to the test.

The graph we can see on social medias are the ones made by connections, but Twitter/FB/... can construct probabilistic models of other connections With that information you can either influence people, reinforce their beliefs (endorphins go up), or expose people to new ideas.

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One way I've been thinking about this is via affinity groups. Someone can submit their personal comments to tribeA. tribeA will approve if it's not spam and in line with their values/philosophy. Users can follow or even submit to multiple & see which makes the best case.