How Facebook Uses Artificial Intelligence & ML to understanding of language, meaning, and nuance Mantha Anirudh Follow Jan 4 · 2 min read

Photo by Kon Karampelas on Unsplash

Facebook is continuously facing privacy and security issues, and the user’s exposure to sensitive data on the platform is salivating. Facebook is known for spreading false information along with offensive content that can lead to fraudulent messages. Although these are serious allegations, Facebook says they will try to remove as much harmful content as they can.

There are thousands of content moderators worldwide on Facebook, including their ever-growing Artificial Intelligence Service, to detect offensive content. As technology has taken over our lives, Facebook is also stepping up towards it.

Now, most content moderation on Facebook is done by machine learning systems. In this way, moderators don’t have to review much content themselves. Instead, artificial intelligence does all the work for them.

Facebook claims that 98% of terrorist photos and videos are found before users see them. How far Facebook has gotten into moderation, much appreciated!

Currently, Facebook is training its machine learning systems to identify vulnerabilities by labeling objects in its videos. They use neural networks to identify objects based on their behaviors and characteristics and label them with confidence and percentage.

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Currently, Facebook is training these networks on a variety of videos, including pre-labeled videos. Networks can identify the entire scenario in the image and highlight any flags (if any).

If there is some problematic behavior in videos, images, or any other content, Facebook sends the data to human moderators for review. If it is verified, Facebook will create a hash that allows Facebook to automatically delete such data on the Internet, in case the user uploads the video again. Facebook can share these hashes with other social media platforms and remove them from the Internet.

This is a smart move taken by Facebook, but it is still struggling to automate the machine’s understanding of language, meaning, and nuance. Due to the machine’s inability to rely heavily on Facebook content moderators(Difference Between Data Analytics & Machine Learning?) to review harassment and bullying content on the platform. AI systems cannot currently detect more content, but it may in the future.