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Instagram, launched in 2010, is a social app for sharing photos and videos. Today, Instagram has 800 million monthly active users and is owned by Facebook. Every day, 70 million photos are uploaded to Instagram, where people interact, comment and use tags to express emotions. All of this creates a lot of data. These data have been analyzed -- and increasingly analyzed by artificial intelligence algorithms -- to provide incredible business intelligence and insight into human behavior, so Instagram CEO Kevin Systrom said: "We will also be a family. Big data company."
Let's take a look at how Instagram uses big data and artificial intelligence.
Explore pages and search features
Using tags and trending information, Instagram users can find photos of specific events, topics, or events, or discover experiences, restaurants, and places around the world. Search tools use tags to help Instagram users discover what they are interested in in millions of uploaded images.
Target ad
In order for the data collected by Instagram to be valuable, customer insights must be extracted from it. By evaluating a user's search preferences and engagement analysis, Instagram can sell advertisements to businesses that want to get specific customer profiles and who are likely to be most interested in receiving specific marketing information. Instagram's parent company, Facebook, has 1.8 billion users, so they have a powerful analytics network that pushes targeted ads based on what people like, what they care about, and what they interact with and save.
Enhance user experience
In order to ensure that users find valuable information on the platform, Instagram becomes very important to show them what they like. As content continues to increase, finding content relevant to each user becomes more and more challenging. When Instagram displays feedback in chronological order and displays posts that they think users might like and would like to share, they can use machine learning algorithms to help classify the information and better understand each time over time. What is the most important and relevant content of a user, creating a personalized stream of information.
Filter spam
Instagram uses artificial intelligence to deal with spam. The spam filter removes fake emails from accounts in nine languages, including English, Chinese, Russian, and Arabic. Once a message is detected, it is automatically deleted. Instagram uses Facebook's DeepText artificial intelligence algorithm, which is almost comparable to humans in understanding the context of messages.
Combat cyberbullying and remove offensive comments
In a survey conducted by Ditch the Label, 42% of the more than 10,000 British youth aged 12 to 25 said that Instagram is their most bullied platform. Because it is considered the most serious social media site for cyberbullying, Instagram is the first company to use machine learning to automatically remove offensive posts, while Facebook and Twitter rely primarily on users to report abuse. Based on the success of using DeepText to identify and remove spam, Instagram began to view it as a solution to identify and eliminate comments that violated the Instagram Community Guidelines. Human employees check and mark actual Instagram posts to help DeepText understand what is considered offensive in certain situations and content that is not offensive. If the algorithm finds something that is offensive, it will be removed immediately.
Although DeepText is not perfect, this algorithm has been praised by the network prevention organization for its role. There is also a risk of misclassifying certain non-offensive commentary errors as offensive content.
Research humans
In one study, 100 million Instagram photos were used to train global clothing models. Due to machine learning reasons, there is a huge amount of data that needs to be reviewed. This research shows that machine learning can help in studying human and economic, economic, and cultural factors and extracting insights around the world. This research demonstrates the power of big data and technologies such as computer vision, automated analysis algorithms, and machine learning to handle the huge data sets generated by social media sites and to understand the world around us.
From enhancing platforms for users and advertising to finding and deleting fake or offensive content, Instagram uses information extracted from all data centers to improve itself, while other companies have found great potential in the vast amounts of data collected on Instagram. Can be used to reveal human behavior, culture, and so on.
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