How Big Data is Used on Facebook?


How Big Data is Used on Facebook?


June 7, 2020
Name: 阮氏蘭香
Student ID : D0458704

According to the current situation, we can strongly say that it is impossible to see a person without using social media. Because the world is getting drastic exponential growth digitally around every corner of the world. According to a report, from 2017 to 2019 the total number of social media users has been increased from 2.46 to 2.77 billion.

People are using Facebook, Instagram, WhatsApp, and other social/Messaging medium while doing their daily routines. So, this caused the average time spent on social media by an individual has been increased to 2 hours 22 minutes.

In 2012, Facebook has revealed that it is generating around 500+ terabytes of data every day. In which 2.7 billion were likes and around 300 million photos per day.
For a user, all these information are just statistics, but for a business like a Facebook, these are all very big challenges. To handle all this data, Organizations like Facebook have adopted BIG DATA technology.

How Big Data is used on Facebook?

  • Textual Analysis

Facebook uses Deep Text to analyze the text data and extract the exact meaning from the contextual analysis. This is semi-unsupervised learning, this tool won’t need a dictionary or and don’t want to explain the meaning of every word. Instead, it focused on how words are used.

  • Facial Recognition

The Tool used for this is DL Application that is Deep Face which will learn itself by recognizing people's faces in photos. That's why we're getting the name of the friends while tagging them in a post.  This is an advanced image recognition tool because it will recognize a person who is in two different photos is the same or not.

  • Target Advertisements

Facebook uses deep neural networks to decide how to target audience while advertising ads. This Artificial intelligence can learn itself to find as much as can about the audience, and cluster them to serve them ads in a most insightful way. Because of this serving the highly targeted advertising, Facebook has become the toughest competitor for the ever known search engine Google.
Likewise, Behind the Facebook business model, there are a lot of interesting data handling methodologies are there, and there are a lot of controversial things behind Facebook business flow. But, we don’t want to focus on those things.

Comments

  1. This article is very useful. Today's technology has advanced a lot. Everything around us has been developed in response to the needs of various people incessantly, even the matter of entertainment itself, even though it is seen as something that As for relaxation, development may come in a gradual form, but these entertainment are developed to keep up with other equally. Social media on the internet that we call social networks is cheap. Developed continuously until the society became very popular, which is Facebook. It is unbelievable that since this online social website was launched, it has been a website that has been popular all the time though. For 10 years, it still does not deteriorate. Today, social media has become another important factor in human life and is something that is in everyday life of everyone. At the same time, social media has Developing the ability to access more lifestyles and needs of people as the number of people using it increases, and I'm also a social media enthusiast. The main character I noticed that while I was using Facebook, when I posted a picture with a friend's face, Facebook would tag it automatically, this article let me know that it is a tool that recognizes people's faces. That Facebook invented In addition, Facebook advertising also met my surprising needs. For example, one day I talked to my friends about buying life insurance. On the following day a life insurance advertisement appeared on my Facebook. It’s make me a little bit Surprised.

    安娜亞
    D0731932

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  2. Facebook and Google have very similar business and data models (although there are significant differences in market positioning between the two). Each company highlights this aspect of big data in the company's image, especially those businesses that it is good at.
    For Google, it’s online information, numbers, and facts. For Facebook, it's users. Because it makes our communication with family and friends more convenient and efficient, this makes Facebook one of the world's largest companies in just a few decades. At the same time, it also means that Facebook collects a lot of data from us, and we can also use this data ourselves. Specific application scenarios include searching for old friends and matching our search results.
    In fact, many well-known social media have already noticed the golden stone of big data, and have actually invested in research and testing. One of the most well-known examples is Facebook, whose application interface contains dozens of different data types, including likes, comments, shares, video views, and even the number of posts reaching people.
    The Facebook fan page insight report also helped us aggregate a lot of user information. Through Facebook, we can gain a deeper understanding of users’ usage habits and information about your community fan, such as reach rate, interaction rate, CTA clicks, etc. And other indicators.
    In addition to running your own fan, it is also important to understand how competitors successfully operate the fan. Facebook’s fan professional insight report also provides a graph of the performance of the fan’s data. If you can properly use the information in the insight report, you will be able to learn the latest issue trends and user's recent preferences, and immediately match advertisers to put accurate ads that users like.

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