Post AQk1MdclxsOj8a4nWS by ned@mastodon.lol
 (DIR) More posts by ned@mastodon.lol
 (DIR) Post #AQk1Ma8WvrQMJuu6T2 by sbraun@sigmoid.social
       2022-12-18T11:11:54Z
       
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       I'm a bit split on how to use Mastodon in multiple communities. I joined Mastodon to follow along with the AI/ML community migrating from Twitter. Therefore, my main follows and followers are AI/ML people. But I'm also interested in other communities, e.g. #Emacs and #Linux.1/6
       
 (DIR) Post #AQk1Map4NhS4Rqo4m0 by sbraun@sigmoid.social
       2022-12-18T11:12:07Z
       
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       If I now start posting and boosting in these communities, since there is no interest-based content recommendation algorithm on Mastodon, people who follow me will see these in their timelines, no matter if they are interested in those particular topics or not.2/6
       
 (DIR) Post #AQk1MbMkMUOG8IYyGW by sbraun@sigmoid.social
       2022-12-18T11:12:16Z
       
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       I know that many are using Twitter and Mastodon from a purely academic and professional perspective to stay up-to-date on relevant works and those could be annoyed (or see Mastodon as not well suited for their use-case) when people they follow also post and boost stuff from, to them, unrelated topics.3/6
       
 (DIR) Post #AQk1MbsITBcxi9KARU by sbraun@sigmoid.social
       2022-12-18T11:12:29Z
       
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       There are two solutions I see here: 1) create a second, community-specific Mastodon account. 2) Have some form of recommendation algorithm.I think 1) is annoying and too much trouble for the end-user.4/6
       
 (DIR) Post #AQk1McS6K4GdVC4lFY by sbraun@sigmoid.social
       2022-12-18T11:12:37Z
       
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       Option 2) is often waived off by Mastodon users, saying that they enjoy the algorithm absence in comparison to Twitter. While I generally agree with this statement, I think this is the perspective on a recommendation algorithm that is based on likes and retweets and the popularity of the author and retweeter (is that even a word?).5/6
       
 (DIR) Post #AQk1McyiMoM58LKo5I by sbraun@sigmoid.social
       2022-12-18T11:12:45Z
       
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       This leads to famous (in terms of followers etc.) people being recommended with a higher likelihood. E.g. on Twitter, I don't even follow Elon Musk, but I see every single post of his on my timeline. What I'm getting at is: While Mastodon should stick with not recommending posts based on the popularity of the author, it might still be a good idea to recommend, or rather score, posts based on how relevant it is to the user.6/6
       
 (DIR) Post #AQk1MdclxsOj8a4nWS by ned@mastodon.lol
       2022-12-18T11:59:28Z
       
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       @sbraun Just be sure to use community-specific hashtags. That way your AI/ML followers can filter #Linux and your Linux followers can filter #Emacs if either one bothers them. I filter several hashtags and any post with the word “Wordle” in it.
       
 (DIR) Post #AQk1Me7c7D4GgEVQau by josemanuel@qoto.org
       2022-12-18T19:49:15Z
       
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       @ned @sbraun Better yet, people may follow the hashtag and not you. There would be no need to filter in that case, or to create several accounts. (Having more than one account is a natural thing here, BTW. Some people have alts for posting NSFW stuff, or even open accounts in different platforms, like PeerTube or Funkwhale, to take advantage of their different features, but I wouldn’t recommend that for your particular use case. YMMV.)Anyway, as a practical example, I’m not following either of you, but I’m following one of the hashtags you used. That’s how you appeared in my TL.