Me! Me! Choose me! Yes, I know, it’s too late for this round, but I want to participate in the next one. I have real experience in user interface design, quality assurance, and technical writing for beginners. My proudest accomplishment was derailing a supposed release candidate simply by filing bug reports while testing it for documentation purposes. I filed over a hundred bugs against DK5 here on Daily Kos, when it was in testing, and Kos never gave me my steenkin badge.
Or Twitter could hire me. I would gladly come out of retirement for something so important.
The new approach, currently being tested with a small group in the United States, simplifies the reporting process. This relieves the individual to be the one who must interpret the violation at issue. Instead, he asks them what happened.
This method is called symptoms first, where Twitter first asks the person what’s going on. Here’s the analogy used by the team: Let’s say you’re in the middle of an emergency medical situation. If you break your leg, the doctor does not say if your leg is broken? They say, where does it hurt? The idea is, first, let’s try to find out what’s going on instead of asking you to diagnose the problem.
So what if you have diagnosed with, say, stalking, and you don’t know what Twitter wants you to call it? (“This is abusive or harmful” → “includes targeted harassment”) or covid lies? (“this is misleading”, which seems far too light to some → health → covid) Second, being able to describe the problem in your own words can be very helpful.
By refocusing on the experience of the person reporting the Tweet, Twitter hopes to improve the quality of the reports it receives. The more first-hand information they can gather about how people perceive certain content, the more precise Twitter can be when it comes to processing or removing it. This rich reservoir of information, even though the Tweets in question do not technically break any rules, still gives Twitter a valuable contribution that they can use to improve people’s experience on the platform.