Top 5 Ways in Which Facebook Uses Data Analysis

Disruptive technologies like data analysis and artificial intelligence are advancing the growth and development of social media platforms. Across various paradigms in businesses, companies are deploying data analysis in their social media platforms to monitor what the audience really wants and meet the evolving industry demands. Quite similarly, Facebook has also deployed data analysis in its platform to ensure the safety of its users and monitor what its audience really wants. In this video, we have enlisted the top 5 ways in which Facebook is using data analysis.

Textual Analysis: A massive volume of the data shared on Facebook is on text. Videos generally involve larger data volumes in terms of megabytes, but in terms of insights, text can still remain extremely helpful. Facebook's DeepText extracts meaning from the words of the posts on the platform.

Facial Recognition: Facebook deploys DeepFace to recognize people in photos. Reports claim that its most advanced image recognition tool is more successful than humans in recognizing whether two different images are of the same person or not. This feature enables the users to tag friends in photos.

Targeted Advertising: Targeted advertising is something that Facebook is quite popular for, and is also heavily criticized for. This process has always been the cornerstone of its business, but by tasking machines themselves to find out as much as they can about the users, Facebook compiles ads to promote various services.

Open Sourcing Applications: Facebook is actually a strong supporter of open-source and introduces most of its work through Facebook's artificial intelligence research which is freely available to anyone to use or modify however they like. Deploying data science helps Facebook to open-source its innovations.

Analyzing Likes: Recent studies have denoted that it is important to predict data accurately on a range of personal attributes that are quite sensitive by analyzing a user's Facebook likes. Facebook likes can accurately predict one's sexual orientation, intelligence, emotional stability, religious sentiments, and political views, among others.