評論
打印
So about midway last year, we decided that we were going to apply a lot more machine learning, a lot more deep learning to the problem,
大約在去年年中，我們決定更多采用機器學習與深度學習，
and try to be a lot more proactive around where abuse is happening, so that we can take the burden off the victim completely. And we've made some progress recently.
使其能夠主動發現侮辱信息，這樣我們就能讓受害者卸下重擔。最近我們頗有成效。
About 38 percent of abusive tweets are now proactively identified by machine learning algorithms so that people don't actually have to report them.
機器自主學習算法能夠主動發現38%的侮辱性推文，這樣人們就不用舉報這些了。
But those that are identified are still reviewed by humans, so we do not take down content or accounts without a human actually reviewing it.
但即使機器識別了那些信息，也還需要人來審查，所以在有人審查之前，我們不會刪除任何評論或賬號。
But that was from zero percent just a year ago. So that meant, at that zero percent, every single person who received abuse had to actually report it,
但重點是我們一年前是從零起步。我的意思是，以前，每個受到侮辱的人都需要親自舉報，
which was a lot of work for them, a lot of work for us and just ultimately unfair.
對于他們和我們而言是一項大工程，并且這非常不公平。
The other thing that we're doing is making sure that we, as a company, have representation of all the communities that we're trying to serve.
我們在做的另外一件事，是確保在公司里有足夠的員工來代表反映我們服務的所有群體。
We can't build a business that is successful unless we have a diversity of perspective inside of our walls that actually feel these issues every single day.
若我們的團隊沒有多元的觀念，若沒有員工會每天親身經歷這些問題，我們將無法成功地建立一個企業。
And that's not just with the team that's doing the work, it's also within our leadership as well.
這一點不僅僅適用于開發小組，也適用于領導團隊。
So we need to continue to build empathy for what people are experiencing and give them better tools to act on it,
所以我們要繼續在同情人們的遭遇的同時，給他們創造更好的交流平臺，
