Discovery and the Fediverse (algos, curation, interfaces)
/2023-03/session/4-c/
Convener: Gabe Kangas
Participants (add yourself here if you want to be listed, no obligation): Name and Fediverse handle
- Hannah Aubry (@haubles@fosstodon.org)
- Jesse Baer (@misc@mastodon.social)
- David Slifka (@davidslifka@mastodon.social)
- Davide Eynard (@mala@fosstodon.org)
- Matt Terenzio (@librenews@mastodon.social)
- Christel van der Boom (@xtel@flipboard.social)
- Marlene Breitenstein (@BreitensteinArt.mastodon.art)
- Mike McCue (@mike@flipboard.social)
Key points:
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fediview, fedifeed, lots of things coming out right now
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Chris (@UncensoredNews) says: 9 recommended articles about problems with the MSM algorithms. https://uncensorednews.us/algorithms/
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Davide says: https://fosstodon.org/@mala/109914623812016969 - a thread collecting different approaches to search and timeline algorithms on the Fediverse
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The fediverse is currently a “human-based” algorithm
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David Slifka says: Also: There is a group @algorithms@venera.social that you can follow/mention from Mastodon, for this topic.
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Any algorithm should be open from the beginning
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“You either trust all of the system or you trust none of it” - Gabe
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Weighted hashtags: e.g. if a post has two hashtags, each one has only 1/2 weight, three tags -> 1/3, etc.
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Algorithms must be opt-in
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User-side algorithms - open & transparent, explanations of why recommendations happen
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Views & interfaces rather than a chronological view
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Also weighting the people you follow (more important, less important), and…
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Limiting the number of posts you see from each per day or time period.
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Davide says: Re: engagements, I think this is an interesting read: https://medium.com/understanding-recommenders/whats-right-and-what-s-wrong-with-optimizing-for-engagement-5abaac021851
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List makes are “curators of the curators” - Twitter never leaned into lists, but they offer all sorts of possibilities, e.g.: Filter them for topicality central to the list; normalize frequency among list members; much more
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Gabe Kangas says: Here’s some extended thoughts from me if anybody is interested: https://gabekangas.com/blog/2022/08/decentralized-discovery/
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Reputation trust systems
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Davide says:On limiting content/users: https://github.com/mitotic/pinafore-mah
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Jon Udell says:Marlene, might’ve been me: https://blog.jonudell.net/2023/01/16/mastodon-relationship-graphs/
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Clients can define different ways to introduce algorithms, and you choose the method you like by app.
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Marketpace for algorithms: clients as a view, opt-in to servers with alo-based feeds
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A sort of directory: Self-selecting into various categories (like selecting hashtags in bios) to be filterable by users who want to follow those types of content.
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Xtel says:Here is the account that Mike is talking about: https://flipboard.social/@NewsDesk
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Newsie.social took the approach to manage the links (news) in our instance to ensure that ONLY real and legitimate news orgs percolate. https://newsie.social/explore/links
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Readily is adding Brave Goggles to it’s daily digest to allow users to choose what gets boosted https://readily.news