Artificial Intelligence (AI) in Social Media

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 Artificial Intelligence (AI) in Social Media


Artificial Intelligence (AI) is no longer a dream — it’s here, transforming our world in ways we interact with every single day. It has already blended into our daily lives so deeply that we often don’t even notice it.


According to a survey, by 2023, the use of AI in social media was expected to reach $2.2 billion, up from $0.6 billion in 2018. These numbers clearly show the growing and undeniable role of AI in shaping social media.




How AI Works in Social Media


AI works by processing huge amounts of data with smart algorithms, generating powerful insights, and delivering highly personalized user experiences.


Social media platforms like Instagram and LinkedIn use AI-powered algorithms to customize feeds for each user. For example:


The face filters on Snapchat or Instagram are made possible by AI and Machine Learning (ML).


LinkedIn job recommendations come from analyzing your profile, skills, and activity.



AI combines vast amounts of data with fast, iterative processing and intelligent algorithms, making complex tasks look effortless.




Personalized Recommendations


Take Instagram or Facebook: both use ML-powered algorithms to collect user preferences and recommend similar posts, videos, and ads.


When you watch a video or engage with a certain topic, these platforms record your interest areas and analyze your activity. They then recommend more content that matches your behavior — keeping your feed endlessly engaging.


Recommendation algorithms also compare you with people who behave like you online, showing you content they’re seeing as well.




Video Recognition & Facial Recognition


Over the last decade, video recognition has become a powerful tool across industries.


In the early 2010s, Facebook was one of the first tech companies to introduce Facial Recognition to identify people in photos. Today, it has advanced to the point where it can even detect facial emotions.


Snapchat and Instagram also use computer vision for face filters, stickers, and augmented reality experiences.




Natural Language Processing (NLP)


AI tools like Apple Siri, Amazon Alexa, and Google Translate use Natural Language Processing (NLP) to understand, interpret, and respond to human language.


In social media:


Facebook’s DeepText is a deep learning engine that analyzes and understands text from comments and posts on Facebook and Instagram.


This allows platforms to filter spam, categorize content, and improve recommendations.



AI-powered technologies are rapidly turning raw social media data into actionable, personalized experiences. From smarter recommendations to advanced facial recognition and intelligent language processing, AI is reshaping the way we interact, share, and connect online.


The future promises even deeper integration — with AI delivering content, ads, and interactions that feel almost custom-made for each user.


MOHAMMAD SHINAN K

5th Semester BCA

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