- cross-posted to:
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- cross-posted to:
- [email protected]
Shinigami Eyes is an indispensable tool for trans people and allies alike, as it lets others know whether an account/username is transphobic or trans-supporting across several websites/social media.
I sometimes look up some new transphobe and they are not highlighted yet, so I suppose the popularity of the extension has dropped?
Shinigami Eyes is an important activist tool and we should not let it be forgotten. In my opinion it has been under-harnessed by journalists and other outlets, as it could - possibly - protect from spreading transphobic disinformation.
Let me take this opportunity to remind you of other important tools like Tweeter extension BlockParty, for example, which used to allow you to block en masse anyone who has liked or retweeted a particular tweet. Among other mass blocking options.
Here is an archive of this app’s hiatus announcement , but this together with shinigami can be said to form the seed of a toolbox for safer experience online for trans, feminist, queer and other groups.
Don’t forget Activity Pub itself, the protocol Lemmy uses, has this philosophy built-in, and it was designed with these people in mind that want to evade “unsolicited communication”.
For an inclusive and activist open-source enthusiast community it is important that the Internet is equally safe for all people to use, and with the global developments we see, it is daily getting more and more important for tech-savvy activist communities to invent and foster similar technology tools.
I constantly redtag bigots. 🫡
I feel like trans spaces or moving more towards building our own infrastructure rather than relying on certain genocidal megacorporations like Facebook, so thats probably part of the decline in use of apps like this.
I get that. But even in this case, there are places like Lemmy or even applications like Kagi, and whatnot, where the feature is missing. If I look up a trans topic on Kagi, for instance, I feel surprised by the absolute absence of the red color, if you get my gist. IIRC this is done by separately parsing each site, so I don’t think that its use case is exhausted in Facebook and Reddit.