Discover and read the best of Twitter Threads about #Moderator
Most recents (2)
1/ My thoughts on being a good #Moderator
First and foremost, your top goal is to service the debate, not your own opinions.
The best moderators are those who give no clue as to where they stand on the subject because it's their express duty to leave that to participants...
First and foremost, your top goal is to service the debate, not your own opinions.
The best moderators are those who give no clue as to where they stand on the subject because it's their express duty to leave that to participants...
2/ All your interjections in the debate should come as no surprise to anyone -- especially the participants.
In other words, clearly define the rules in advance on what you'll be enforcing, and ideally, you should announce these to the audience at the beginning as well.
In other words, clearly define the rules in advance on what you'll be enforcing, and ideally, you should announce these to the audience at the beginning as well.
3/ Thus, if someone steps out of line for these agreed upon rules and you promptly enforce them, there should be no controversy as this was expected.
A "bad call" is always a problem in any sport, the losing side feels robbed, and even the winning side feels the victory tainted.
A "bad call" is always a problem in any sport, the losing side feels robbed, and even the winning side feels the victory tainted.
"We are the #Borg. Lower your shields and surrender your ships. We will add your biological and technological distinctiveness to our own. Your culture will adapt to service us. #ResistanceIsFutile."
theverge.com/2021/3/12/2232…
theverge.com/2021/3/12/2232…
So if one-fifth of @Facebook's employees work on #AR/#VR, have all of them done a stint as a content #moderator? And given its toxic business model why doesn't #Facebook have at least as many *employees* (not contractors) working on #ContentModeration as it does AR?
Also, whether you believe #data '#TheNewOil' or that a better analogy is #ToxicWaste, for #BigTech / the #platforms the result's the same.
Using ML/DL/AI/AR/VR to extract value involves energy-intensive processing and doesn't factor in other externalities like cultural damage...
Using ML/DL/AI/AR/VR to extract value involves energy-intensive processing and doesn't factor in other externalities like cultural damage...
