
Facebook says that Rosetta has already been widely adopted within various teams at the company and with Instagram, and noted that the text extracted from images is also being used in various machine learning models, such as those to improve its photo searching features. As a large number of posts are being posted on the social media, Facebook's moderators aren't able to review the content of the memes while they are being posted, creating a lot of fuss related to offensive posts. First, it detects rectangular regions that potentially contain text, and then performs text recognition.
By its own admission, Facebook has been struggling to suppress the spread of inappropriate content - from hate speech and threats of violence to disinformation and "fake news" across its vast platform.
The technology is rooted in optical character recognition (OCR), only here it's been goal built to process images that get uploaded to Facebook on a daily basis.
Fb says text extraction and machine learning are being set up to exercise to "robotically identify squawk that violates our hate-speech coverage" and that it's doing so in just a few languages. To handle the task, the company has now designed a very sophisticated artificial intelligence which is known as Rosetta.
"Taking into account the sheer volume of photos shared each day on Facebook and Instagram, the number of languages supported on our global platform, and the variations of the text, the problem of understanding text in images is quite different from those solved by traditional optical character recognition (OCR) systems, which recognize the characters but don't understand the context of the associated image", Facebook said in a blog post. The AI tool will be effective enough to understand multiple languages.
For what its worth, Facebook and Twitter have constantly updated their policies, and put in place mechanisms to curb the spread of offensive content on their platforms. Rosetta is the most recent advancement.
For over a year now, Facebook has been under the scanner for the role its played in providing a platform for fake news and hate speech.
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