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How Artificial Intelligence Organize Reported Content for Facebook
A Facebook spokesperson reveals that the social media giant would be redoubling its efforts to counter harmful content on its platform using artificial intelligence. It results in a company that would use Artificial Intelligence to prioritize harmful content. This move is targeting at helping over fifteen thousands of human reviewers and moderators in dealing with reported contents. During the press interaction, we will make sure of getting to the worst of the worst, prioritizing real-world imminent harm above all. There have numerous attempts in the past to bring AI into the content moderation process on Facebook platform.
Here's how we're using AI to help detect misinformation
Artificial Intelligence is a critical tool to help protect people from harmful content. It helps us scale the work of human experts, and proactively take action, before a problematic post or comment has a chance to harm people. Facebook has implemented a range of policies and products to deal with misinformation on our platform. These include adding warnings and more context to content rated by third-party fact-checkers, reducing their distribution, and removing misinformation that may contribute to imminent harm. But to scale these efforts, we need to quickly spot new posts that may contain false claims and send them to independent fact-checkers -- and then work to automatically catch new iterations, so fact-checkers can focus their time and expertise fact-checking new content.
Facebook & Its Tumultuous Relationship With AI-Based Content Moderation
During a press meet recently, a Facebook spokesperson said that the social media giant would be redoubling its efforts to counter'harmful content' on its platform using artificial intelligence. Reportedly, Ryan Barnes, the Facebook Product Manager of Community Integrity, said that the company would use AI to prioritise harmful content. This move is targeting at helping its over 15,000 human reviewers and moderators in dealing with reported contents. Barnes said during the press interaction, "We want to make sure we're getting to the worst of the worst, prioritising real-world imminent harm above all." With that being said, there have been numerous attempts in the past to bring AI into the content moderation process on Facebook's platforms. However, not all of them have met with success.
Using AI to detect COVID-19 misinformation and exploitative content
The COVID-19 pandemic is an incredibly complex and rapidly evolving global public health emergency. Facebook is committed to preventing the spread of false and misleading information on our platforms. Misinformation about the disease can evolve as rapidly as the headlines in the news and can be hard to distinguish from legitimate reporting. The same piece of misinformation can appear in slightly different forms, such as as an image modified with a few pixels cropped or augmented with a filter. And these variations can be unintentional or the result of someone's deliberate attempt to avoid detection.
Facebook deploys AI in its fight against hate speech and misinformation
Even in the year 2020, it's not very hard to be led astray on Facebook. Click a few misleading links and you can find yourself at the bottom of an ethnonationalist rabbit hole facing a flurry of hate speech and medical misinformation. But with the help of AI and machine learning systems, the social media platform is accelerating its efforts to keep this content from spreading. It's bad enough that we're having to deal with the COVID-19 pandemic without being bombarded on Facebook with ads for sham cures and conspiracy theories passed off as the gospel truth. The company is already partnering with 60 fact checking organizations to fight this disinformation and has issued a temporary ban to halt the sale of PPE, hand sanitizers, and cleaning supplies on the platform since the start of the outbreak in March.