Posts by sbraun@sigmoid.social
 (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