7 Ways Instagram Uses AI And Big Data


Instagram’s popularity is increasing by quantum leaps, and the reason lies in its use of technology. If you believe that only the intelligent design of the platform contributes to a majority of its success, here’s a thing: there’s more to it. Today’s article explores how Instagram used Artificial Intelligence and Big Data to establish itself as an eminent performer in the industry.

Instagram Phone

#1. Instagram bots:

Instagram bots strive to automate user account interactions. When any Instagram follower demands advanced features, they opt for bots that can tackle any task such as commenting and liking. These bots use machine learning algorithms to increase Insta follower count via engagement within the platform.

#2. Targeted advertising:

The targeted advertising uses scripts to analyze the type of content a user likes to see. It uses some sort of sentiment analysis on the comments of the user to understand which products excite them. With this the personalized ad campaigns get power. As a whole, the use of AI in advertising has increased choices for the user and the sellers.


#3. Personalized feeds:

Personalized feeds are another example of excellent Artificial Intelligence. The user preferences get analyzed by their interaction with accounts, posts, and videos. Then similar content is curated and shared in the personalized feeds in reverse-chronological order. In this process, Big Data concepts also get used to dealing with a huge amount of data to provide engaging and appropriate content whenever the user opens the Instagram app.

#4. Get insights:

Gathering insights using Big Data concepts and managing millions of daily shared posts. Scouring through the data is a valuable cultural analysis tool as well that can identify trendy topics within the platform and monetize on that.


#5. Search and explore functionality:

Instagram employs a technique called Word embedding to identify accounts that are mutually similar. This strategy helps the app provide relevant results to any Insta follower, who is trying to explore fresh content. The same thing happens with the search function. The algorithm analyzes the search query and provides relevant results.

#6. Eliminating spam:

Spam filtering is not new. Google has already incorporated that in the Gmail application. Similarly, Instagram has also introduced the concept in the social media domain to identify redundant content and remove them automatically.


#7. Detecting offensive comments:

Cyberbullying is a grave issue in the digital space. The sentiment analyzing algorithms, in this case, comes in handy. They run scans through texts to discover distasteful comments. Thus these types of content can get banned or flagged by the authority. As a result of this use of tech, the propriety and moderation of the platform have increased a lot. This technique often uses a list of words and phrases that keeps updating itself and effortlessly adapts to a new kind of conversation.



Now, how do these new-age technologies keep evolving in tandem with the platform and contribute to the betterment of the platform? Without a doubt, it is Instagram’s strategic use of data and embracing the potency of AI that has driven it to its success.

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