Between January and March 2022, Meta took action on more than 15 million pieces of hate speech content on Facebook. Roughly 95% of that was detected proactively by Facebook with the help of AI.
Throughout the last decade, the U.S. has seen immense growth in frequent internet usage, as one-third of Americans say they're online constantly, while 9 out of 10 say they surf the web several times a week, according to a March 2021 Pew Research poll.
For companies with giant user bases, like Meta, artificial intelligence is a key, if not necessary tool for detecting hate speech — as there are too many users and pieces of violative content to be reviewed by the thousands of human content moderators already employed by the company. AI can help alleviate that burden by scaling up or down to fill in those gaps based on new influxes of users.
That combination of AI and human moderators can still let huge misinformation themes fall through the cracks. Paul Barrett, deputy director of NYU's Stern Center for Human Rights, found that every day, 3 million Facebook posts are flagged for review by 15,000 Facebook content moderators. The ratio of moderators to users is one to 160,000.
Another issue: AI detected to root out hate speech is primarily trained by text and still images. This means that video content, especially if it's live, is much more difficult to automatically detect as possible hate speech. "Live video is incredibly difficult to moderate because it's live, you know, we've seen this unfortunately recently with some tragic shootings where, you know, people have used live video in order to spread, you know, sort of content related to that.
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