Machine learning can definitely play a leading role in your Instagram clone app development. Besides helping to moderate and eliminate spam and cyberbullying, it also works towards bettering the app. Applying machine learning to your app helps to enhance the user experience by providing content that is most appropriate based on a user’s requirement.

1. Machine learning 몭ML몭, a type of artificial intelligence 몭AI몭 enables software to predict outcomes. An
ability like this is highly valuable in a social networking app like Instagram.
Uses of Artificial Intelligence and Machine Learning in Instagram
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2. Investors looking to develop an Instagram clone can utilize machine learning. This technology appears
to be the best way to overcome a few problems you will encounter. Tackling these issues will help give
your app’s users a better user experience.
Here are a few applications of ML and AI in Instagram.
Eliminating Spam
Constant spam messages and comments plague app like Instagram. Spam depreciates a post’s value
and can easily lower your app’s reputation. To avoid this reality you must tackle spam head-on.
Luckily, it is possible to use a spam filter that detects and eliminates spam messages. These spam
messages occur in many languages, the most common being Chinese, Russian, Arabic, and English.
Using the artificial intelligence algorithm DeepText, Instagram can read and process text the same way
a human can. This proves an efficient way by which text can be processed to eliminate spam without
expending too many resources.
Preventing Cyberbullying and Deleting Offensive Content
Cyberbullying has become a prominent worry for people using social media. Compared to other social
media apps, Cyberbullies tend to prefer Instagram. This has something to do with the fact that they
receive sheltering to an extent.
It is especially troubling since the bullies get off scot-free thanks to anonymity. This only stimulates
more people to cyberbully and since the internet is a gigantic space, the effects only amplify.
You must be wondering how machine learning comes into use here.
It starts with actual people reviewing Instagram posts and tagging them as offensive. This helps
DeepText identify what is permissible and what isn’t. After this, machine learning algorithms take over
and sort posts based on examples given to them.
Enhancing The User Experience
Machine learning was put to the test when Instagram changed its feed algorithms. Based on what users
were looking at, Instagram needed something to predict the right content for the right people. That
something happened to be machine learning.
The machine learning software sorts through the information and is compiled. From this data, your
Instagram clone app can give each user a valued personalized feed.

3. Without such advanced technology, customizing content for each user would not be possible!
Targeted Advertising
For any social networking app, assessing and collecting information about what users want is vital to
success. Data like this dictates what content your Instagram app users want to see.
But it also paints a broader picture around social media platforms. A company would naturally be
interested in advertising on a social media platform. This is because such apps have millions of users.
They provide the fastest way to reach the largest audience in the shortest time.
Studying Human Socializing Patterns
If you come to look at machine learning and its capabilities, there is nothing that you cannot study using
it. When you combine ML with big data and artificial intelligence, it is possible to study human behavior
and social tendencies.
Conclusion
Machine learning can definitely play a leading role in your Instagram clone app development. Besides
helping to moderate and eliminate spam and cyberbullying, it also works towards bettering the app.
Applying machine learning to your app helps to enhance the user experience by providing content that
is most appropriate based on a user’s requirement.
Author Details:
I am a content writer and am not surprised that I arrived at this interesting and creative career. I fostered
a love for reading from a young age and as an adult, became captivated by the ability to communicate
with customers, businesses, and everyone in-between through words. Now a content writer in an IT
company, I have found my fit in the industry.
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