Skip to main content

FACEBOOK FACE RECOGNITION : IS IT A CURENT TREND OR VIOLATING PRIVACY?


In this era of social media, a lot of things happened. There is the fun part, there is the sad part, even the dark part. This dark part including stealing our privacy when we’re surfing on the internet. Facebook has been known as one of the biggest social media platform thats been together with us since 2004. A lot of social media comes after such as Twitter and Instagram which is no less competitive than Facebook. That makes Facebook want to developed more feature in their platform, one of the is face recognition.


So, what is face recognition? Facial recognition is a biometric software application capable of uniquely identifying or verifying a person by comparing and analyzing patterns based on the person's facial contours. Facial recognition is mostly used for security purposes, though there is increasing interest in other areas of use. For example, Apple’s iPhone X above can unlock itself when we point our face to the phone. 

In Facebook, there’s this feature where we can post a photo and tag a friend of ours but we have to do it manually. Recently, in the late 2017, Facebook announce that they also have the face recognition feature. How does it work? When a Facebook user with either “tag suggestions” or “face recognition” turned on is tagged in a photo, the social network’s machine learning systems analyze the pixels of the face in the image, creating what’s called a “template.” Facebook describes the template as a “string of numbers,” but each user is assigned a template that’s unique to them. That is very smart of them. Facebook made an announcement along with a notification for each user’s account that looked like this :

A lot of people tought that this is violating their privacy even though Facebook said that we have the control over it. But still, some people have been wondering what is Facebook wants to do with their faces. For example, in the United States, Facebook is fighting a lawsuit brought by Illinois residents claiming the company’s face recognition practices violated a state privacy law. Damages in the case, certified as a class action in April, could amount to billions of dollars. Privacy expert said that Facebook get a company benefit with this facial recognition. Facebook’s plan to analyze your face don’t stop with photos and authentication. As reported by WWD, the social media giant wants to monetize facial recognition further with what it calls “augmented commerce.” The idea is to help brands transform simple Facebook ads into interactive AR experiences. The problem? No one knows what Facebook or its ad partners will do with the data gained from scanning your face.

Ave Maria Georgina C.
106218051

Labels:

Comments

Post a Comment

Popular posts from this blog

RFM in Business Strategy

RFM Analysis For Successful Customer Segmentation Analysis RFM in Big Data RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behavior based customer segmentation. It groups customers based on their transaction history – how recently, how often and how much did they buy. RFM helps divide customers into various categories or clusters to identify customers who are more likely to respond to promotions and also for future personalization services. RFM analysis evaluates which customers are of highest and lowest value to an organization based on purchase recency, frequency, and monetary value, in order to reasonably predict which customers are more likely to make purchases again in the future. What are Recency, Frequency and Monetary? ·         Recency      : How much time has elapsed since a customer’s last activity or transaction with the brand. ·     ...
Post a Comment
Read more

Artifical Neural Network

Artificial Neural Network  is a computational model based on the structure and functions of biological neural networks. Information that flows through the network affects the  a neural network changes or learns, based on that input and output. So the point is  to create a computational system that could solve problems like a human brain. The Neural Networks was founded by  Warren McCulloch and Walter Pitts in 1943. Then it was upgraded with AI (Artificial Intelligence) in 1975 by Kunijiko Fukushima called Artificial Neural Network (ANN) .   Warren McCulloch and Walter Pitts Today  Neural Networks are important in information age, because help society to solve complex problems in real life condition. They can learn from model the relationships between inputs and outputs that are nonlinear and complex; make generalizations and inferences; reveal hidden relationships, patterns and predictions (such as financial time series data) and varianc...
Post a Comment
Read more

benefits of online shopping

Benefits of Online shopping Online shopping is the activity or action of buying products or services over the Internet. It means going online, landing on a seller’s website, selecting something, and arranging for its delivery. The buyer either pays for the good or service online with a credit or debit card or upon delivery . Benefits of online shopping :     Convenience . There are no lines to wait in or cashiers to track down to help you with your purchases, and you can do your shopping in minutes. Online shops give us the opportunity to shop 24/7       Better prices. Cheap deals and better prices are available online, because products come to you direct from the manufacturer or seller     More variety .  The choices online are amazing. You can find almost any brand or item you're looking for. You can get in on the latest international trends without spending a lot of money.     No crowds . If you are like me, you hate c...
Post a Comment
Read more