Understanding How Facebook and Instagram Rank Content: Insights from Meta

Facebook and Instagram feeds in 2023

Meta, the parent company of Facebook and Instagram, has recently provided valuable insights into how the platforms’ algorithms work. In an effort to be more transparent, Meta has published a total of 22 cards on its website, explaining the AI systems that rank content on Facebook and Instagram.

The goal of Facebook’s News Feed AI has always been to display posts that may be of interest to the user. While the AI system has evolved since its inception, the underlying objective remains the same. Meta has now decided to share more information about how this AI works.

The process of selecting messages to display in the News Feed involves multiple steps. First, the AI collects and analyzes the posts from friends, pages, and groups that the user is subscribed to. Then, it narrows down the selection to approximately 500 relevant posts. Each of these posts is assigned a Relevance Index, which determines their order in the News Feed.

Meta is also becoming more transparent about the signals used to determine the most relevant posts. For example, one prediction used by Facebook is the likelihood of the user seeing other comments under a post. The signals used for this prediction include the user’s engagement with posts in the same category, their interaction with comments, and their views of relevant sections on their mobile device.

Meta details signals used

Meta has provided detailed information about the signals used in its AI systems. The top 10 predictions used to determine News Feed content have been shared, along with specifics about the signals employed. Similar information is available for other aspects of the social network, such as ranking comments and recommendations.

This level of transparency is a departure from the usual reliance on third-party research to understand how content ranks on social media platforms. Meta’s disclosure of this information can help content creators optimize their posts, photos, and videos.

The decision to reveal these AI secrets may be attributed to new European legislation, the Digital Services Act (DSA), which mandates increased transparency regarding ranking algorithms. Meta aims to provide a model of transparency that allows users without deep technical knowledge to understand how their systems work.

Control over these AIs

While Meta uses AI to curate content for users, Facebook and Instagram provide ways for users to have some control over the AI. Negative feedback about a post can be sent to reduce the likelihood of similar content appearing in the future. Additionally, new controls are being tested, such as Instagram’s “interested” button, which allows users to provide feedback on relevant recommendations.

For those who want to delve into the details of Meta, Facebook, and Instagram AI systems, all the information can be found on the dedicated webpage, where the 22 system cards are available for exploration.

In conclusion, Meta’s transparency initiative sheds light on the inner workings of Facebook and Instagram’s AI systems. Understanding these algorithms can help users optimize their posts and create content that resonates with their intended audiences. With the increasing importance of AI in shaping social media experiences, it is crucial for users to have a clearer understanding of how their content is ranked and displayed.