cross-posted from: https://lemmy.zip/post/1522825
Archived version: https://archive.ph/AGdRE
Archived version: https://web.archive.org/web/20230816144902/https://www.nature.com/articles/d41586-023-02554-0
Mastodon is a good alternative.
The search limitations on Mastodon are unfortunately a major issue in science / research orbits.
What kind of limitations? Not that I’m a developer for mastodon or anything, but I’m just curious since the article only mentioned searching by hashtags.
Mastodon’s search is restricted to hashtags and users only as a design choice. Full text search isn’t implemented on all instances and where it is only searches your own content, not that of others. The first impression I’ve seen from people not already familiar with the choice is that Mastodon’s search is simply broken, such is the expectation for true full text search across information systems generally.
The restriction means you’re absolutely dependent on conversations centring around a hashtag that is both consistently used by participants and that you know to look for. In practice a lot of conversations don’t work that way.
Content goes untagged, crucially because an originator has no reason to expect a post to turn into a thread when they start it. It not always possible to deduce what the hashtag might be on a topic you’re interested in, particularly when we’re talking about events occurring in real time. It gets even worse when we add regional dialects and different languages to the mix.
Some of this is addressable by having specific, disciplinary based scientific instances and hoping people use them. A planned structure of some sort so you could know where to look. There’s elements of that now.
Contrast this with Bluesky’s very powerful (if currently extremely painful to set up) published feeds system and I think Mastodon’s going to struggle a bit in this space. In my orbit (primarily social policy and support) Bluesky already seems to be winning out even behind the invite wall primarily because conversations and their participants are more discoverable and the control offered over their presentation at both an individual and community level.
Interesting, I’ll have to keep an eye out. I haven’t really needed to do a lot of searching for content, I split my time between lemmy and mastodon but I hope to see more cross-posted content as the code for each matures further. We’ll see how things shake out over time but I’m hoping the fediverse in general comes out ahead of the profit-oriented solutions.
Who would you recommend following in this space?
I would recommend following tags of the topics you are interested in and you will quickly find interesting people to follow.
Is there a way to find the most used tags?
Sometimes I’ll start to tag something, and a billion different variations show up, so I don’t know which to use.
I mean everyone is different and it depends on your interests. But with Mastodon you can search for and follow hashtags like accounts, then explore users who post with those hashtags.
What are you interested in? :)
They move fast. Only 8 months after the obvious.
Scientists are not fast at abandoning established ways of communication. I mean they still publish the same way as a century ago, its just now digital too. It took a whole friggin’ pandemic for life science researchers to embrace the concept of pre-prints. 8 months to move from twitter sounds almost fast.
Thanks, Elon. This is why we can’t have good science.
In STEM fields communication with others is key in improving your research. It is not easily to rebuild these “links”. Since Twitter was the biggest hen in the henhouse, it was a forgone conclusion.
