Facebook Uses Artificial Intelligence To Recommend Your Videos

Meta is restructuring the way it handles video recommendations on Facebook, aiming to outdo its competitor TikTok. Tom Alison, the head of Facebook, announced this, stating, “Instead of just powering Reels, we’re working on a project to power our entire video ecosystem with this single model.”

This change, part of Meta’s broad “technology roadmap,” intends to completely change and re-imagine the way users engage with video content across the platform.

This recently launched plan was set into motion after Facebook noticed an increase in Reels watch time by 8 to 10 percent upon testing the new AI-powered recommendation engine.

Alison commented, “So what that told us was this new model architecture is learning from the data much more efficiently than the previous generation.” By applying this AI-driven model across all video platforms, Meta hopes to enhance user engagement and content relevance.


So How Does AI Improve Content Moderation?


AI plays a major role in Facebook’s content moderation, enhancing user safety and adherence to community standards. The technology identifies and removes content violating these standards, sometimes even before users report it.

According to Facebook’s approach, “If the content doesn’t go against our Community Standards but may be inappropriate, disrespectful, or offensive, we may do things such as reduce the distribution of the content on Facebook or mark it as sensitive.”

The system combines AI detection with human review to ensure accuracy and fairness. AI models are trained to recognise various forms of unacceptable content, from nudity to graphic violence.

These models then decide whether to remove the content or reduce its visibility. When uncertain, AI forwards the content to human moderators for final judgment, thereby learning from these human decisions to improve over time.



How This Affects Facebook Users


The integration of AI into Facebook’s video recommendation aims to create a more personalised and engaging experience for users. Alison explained, “If we get this right, not only will the recommendations be more engaging and more relevant, but we think the responsiveness of them can improve as well.”

This means users might find content that is more in line with their interests, potentially increasing time spent on the platform.

Also, moving towards a unified AI model across all video formats signals Meta’s efforts at staying competitive in the market. In improving watch times and making sure that content is more tailored to individual preferences, Facebook hopes to retain its user base and attract new users. Now, we are yet to see how these changes will impact user privacy and data handling, critical aspects already under fire.


What Does This Mean for the Future of AI in Social Media?


Meta adding in more AI technology speaks towards a larger trend in social media, where companies are becoming more and more reliant on machine learning to enhance user experience and their operations’ efficiency. Mark Zuckerberg’s investment in NVIDIA GPUs, important for AI development, illustrates the company’s dedication to advancing this technology.