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.

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"

Replying to

and

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.

11:55 AM · Dec 29, 2021Twitter Web App

Replying to

and

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.