How AI is Influencing Social Media Apps in 2024

Artificial intelligence has transformed the digital industry with its advanced features. Every aspect of our lives has changed with the advent of technology. The most evident impact of AI is seen in the social media world, which now serves as a central hub for communication and entertainment as well. AI in social media has become a valuable tool that is significantly reshaping the dynamics of online interactions. Nowadays, from content moderation to advertisements, AI plays a key role in customizing your social media feed.

The integration of AI into social media app development directly influences the customer engagement and market presence of a company. For example, if you integrate an AI chatbot into your app, it will communicate with your users and be available to solve their queries 24*7. In addition to this , it will also analyse user behaviour and offer personalised recommendations, which results in increased conversions.

AI-backed analytical tools provide insightful business information, including user behavior, preferences, and market trends. These insights help organizations make informed decisions and give direction to product development and overall business growth.

In other words, AI helps companies stay ahead of the digital curve, ensuring that their social media apps are performing well by engaging the audience and increasing profits. 

This blog will help you understand the different aspects of AI in social media and how the combination of AI development with social media app development solutions is changing our way of creating a solid market presence in this digital era. From the types of AI technologies to their applications and future trends, we will discuss everything in this blog. So, let's dive into learning about the world of AI  in social media. 

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Statistics of AI in Social Media At a Glance

Here are some stats that will help you understand the growth graph of AI in social media:

1. In 2021, AI in marketing was estimated at 15.84 billion US dollars. According to sources, it is projected to cross the valuation threshold of 107.5 billion US dollars by 2028. 

2. AI in the social media market has grown exponentially in recent years. It was expected to grow from $1.68 billion in 2023 to $2.16 billion in 2024 at a compound annual growth rate (CAGR) of 28.5%.

3. AI in social media is estimated at 2.10 billion US Dollars in 2024 and is expected to reach  2029, growing at a CAGR of 28.04% during the forecast period (2024-2029). 

4. A survey conducted in March 2023 claimed that  74% of marketers believed that AI had helped them improve their search engine research page (SERP) ranking.

5. 84% of users said that AI has made their searches easy and aligned their web results with their search intent. 

Standard AI Technologies Used In Social Media 

We have discussed the basics of AI in social media, covering its stats and usage. Let's move on to the next topic, which is the AI technologies commonly used for developing social media app solutions. 

These technologies are integrated based on the type and purpose of their use.  Here, we have picked out some of the most commonly used technologies. 

 Machine Learning (ML)

Machine learning basically trains machines or computers how to learn and adapt things as humans. This technology analyses the likes, comments, videos, and images on social media platforms and decides what to show to the audiences. 

With machine learning and deep learning models, personalized suggestions can be delivered to users. It makes the user's experience much better and also eases their search for their favorite content. 

Chatbots And Virtual Assistance

Chatbots and virtual assistants are termed the memory of AI. We are all aware of chatbots and their uses. They are among the top AI tools used for social marketing. They are experts at communicating like humans. Even recently, Meta added a chatbot to Instagram to provide a better user experience. 

AI chatbot development helps the brand make its customer service more convenient and accessible. Due to their 24/7 availability, chatbots also come in handy when it comes to social media app development. 

Natural Language Processing (NLP)

As the name implies, NLP is generally used to facilitate communication between humans and computers via natural language. NLP is a branch of AI development that helps computers not only interpret but also understand human language. It presents the input in the form of meaningful content. 

This technology is mainly used in social media apps to identify and understand users’ sentiments toward specific topics or products. 

Computer Vision 

Computer vision is a branch of AI development solutions that helps computers understand the visual world. Using this technology, machines can identify and classify the objects present in digital images and take action based on what they see. 

On social media platforms, Computer Vision helps improve the security measures of the platform as it immediately restricts the user from sharing inappropriate images, content, and videos from the app. Facial recognition is also possible only through this technology. 

Augmented Reality 

AR and mixed reality have now become popular social media features. AI developers integrate AR for different experiments, but one that became famous immediately is the use of face filters. Snapchat was the first app to introduce live face filters, which increased the app and its features as well. 

Also, AR can be used for social media advertisements also as it will attract the audience and bring users to the platform. The blend of AR development with social media app development services is proving to be a revenue generating strategy. 

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How Are the Top Social Media Apps Using AI?

The best social media apps are already integrated with AI and taking advantage of its advanced automation. It is not only helpful for the admin but also for the users, as managing and navigating through the platform is not an easy job. 

AI can help brands analyse data and find trends and patterns to understand user behaviour in order to offer a better experience on their platform. Here are some of the best examples of AI in social media apps. 

1. Facebook 

Facebook is the first-ever platform to introduce AI in social media apps. Facebook introduces a new way of advertising with AI development. Advertisers can now create creative paid ad campaigns with the help of AI tools. They can even switch platforms to change the existing manual campaign with advanced tools. 

AI algorithms also tailor your personal feed based on the post content, user interactions, and relevancy of the content. This is the reason it suggests what you like to see. 

2. Twitter 

Twitter uses AI to categorize every single tweet to provide a feed with the trendiest content at the top. The AI-driven algorithm also suggests tweets that are created with the use of NLP by analyzing the tweet’s content and data patterns. 

The AI also detects fraud and inappropriate tweets on the platform and blocks those accounts immediately. Twitter, which now has X,  has neural network intelligence used to crop photos in an aesthetic way to give the best output. 

3. Snapchat .

Snapchat is the prime example of a blend of AI development and social media app development. Its filters are powered by AI lenses, detecting faces and distinguishing them from objects. The AI also suggests you send invites to other users based on contacts you have, stories you view, and accounts you follow. 

AI is the key element for marketers or influencers when creating targeted ad campaigns. It gives them insights about what is trending in the Snapchat community. Also, the filters use AR technology which makes the overlaying of virtual elements possible on photos and real-time videos. 

4. Instagram 

Instagram utilizes multiple AI tools to deliver the best content to its users. The first benefit of using AI is that it customises the content for the Explore section according to user taste and preferences. AI tools analyze user interaction to recommend accounts that a person might like to explore. These features directly impact user engagement and invite more people to the platform. 

Moreover, Instagram also uses computer vision technology to automatically detect objects, places, and people in images and videos. Also, this technology helps with automatic photo tagging, content recommendations and other things. 

5. LinkedIn 

LinkedIn is the professional networking platform where people searching for employment  or people searching for employees are both available. AI in LinkedIn facilitates the skill assessment to align candidates with the suitable job role as per their abilities. 

The LinkedIn platform utilises AI for predictive analysis and also for identifying current trends in the job market for an informed hiring strategy. The AI algorithm of LinkedIn is no less than a matchmaker as it matches job opportunities with job seekers. 

6. YouTube

While browsing YouTube, each of us wondered at some point How does YouTube know what we want to see? And now, we understand that the reason behind it is its AI powered algorithm. The platform gives content recommendations based on video searches and views. 

The main aim of integrating these recommendation systems is to deliver engaging and interesting content to platform users. In addition, AI also identifies the violated content by assessing the reviews by users. 

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Challenges and Risks of AI in Social Media 

As we know, everything has its pros and cons, and the use of AI in social media is no different. 

From its benefits to its usage by top social platforms, we have covered everything about the role of AI in social media apps. Now, let's study the different types of challenges you may face while integrating artificial intelligence into social media app development solutions. 

 Data Privacy Concerns

As we discussed earlier, the best thing about using AI is that it can analyse tons of  data, create user profiles, track user behaviour, and predict user preferences. And there are chances that this data can be compromised under certain circumstances.

From the user's purchase behaviour to its browsing history and personal information, the data holds all the sensitive information. And if this data falls into the wrong hands, it can be used for immoral and illegal actions.  Security measures also play an  important role in addressing the data concern, as it is also a type of security concern. 

Biased AI Algorithm

AI can’t be integrated into social media platforms without developing algorithms. And these AI algorithms make systematic decisions based on assumptions created in the machine learning process. This makes it difficult to understand how social media decides to react to the user's actions.  Therefore, lack of quality, vast amounts of training and objectivity can lead to AI bias, impacting user engagement. Likewise, biased humans can also create biased algorithms knowingly. 

Promoting Echo Chambers And Spreading Misinformation 

Social media holds the power to spread a piece of information across the world in just a minute. It is a useful tool to keep people updated about the current events in the world. But, this can also mean that any negative or inaccurate information can also spread like wildfire. If thousands of users share a particular viewpoint then social media will trend that topic and if that content or opinion comes out to be negative then it leads to serious consequences. 

Unethical Use of AI 

The penetration of AI into society has raised ethical questions about its morality and privacy policies. These questions mainly revolve around whether or not AI will get consent from people about their data and whether AI is accountable for the user data it stores. In addition, cases of AI manipulation have been reported recently, which increases the risk of data leaks because of AI on social media. Also, people are creating deepfake videos or photos and using it in a malicious way on social media for political purposes. 

Regulatory Compliance

Social media platforms constantly struggle to comply with several regulations and legal requirements related to privacy, content moderation, and consumer rights. You should take your social media app development process further only after analysing the guidelines for privacy concerns. 

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Future of AI in Social Media 

Artificial intelligence is evolving continuously and redefining the meaning of social media in different ways. Knowing about the future outlook and scope is necessary along with the current trends in AI development services. This understanding is essential for your platform if you are thinking about building one. Hire dedicated developers who know how to leverage the latest technologies effectively. Now let's examine current trends and their implications for businesses:

AI Chatbots

AI chatbots have significantly transformed the customer service department by providing instant responses to the users and offering personalised assistance. Voice bots are also popular nowadays allowing you to engage with the social media apps through voice commands and responses. Businesses are now investing in chabot rather than hiring the team of customer support as it enhances user activity on the platform by providing 24/7 support. 

AR & VR in Social Media

Augmented reality and virtual reality are considered two game-changer technologies.  It has made social media apps more interactive and engaging by offering immersive experiences. The AI-based avatars and characters add fun elements to the platforms and provide new opportunities for social interaction. The companies are utilising AR to make interactive advertising campaigns. As you already know Instagram and Snapchat use AR filters that help boost brand visibility and generate profit. 

Video Analysis and Recognition

Nowadays, everybody is fond of short video content and its popularity is just increasing with each passing day. Keeping this in mind, social media apps have added AI tools for making the videos more appealing to the audience. These tools can detect faces and distinguish between texts or objects. The analysis enables businesses to understand the user generated content and collect insights to improve video engagement through sentimental analysis, auto-captioning and targeted recommendations. 

Social Media Analytics For Brand Campaign 

Social media analytics powered by AI help brands gather comprehensive data-driven insights. This allows them to create a targeted marketing campaign by using computer vision technologies and promoting their brands. These brands use a logo detection tool to evaluate the images. These images get featured on social media platforms, optimizing the approach for higher engagement. These refined strategies connect with the audience way better than the older strategy of showing advertisements without any form of interaction. 

Deepfake Detection

With the increasing number of cases of deepfake videos or photos spreading misinformation, the need for reliable deepfake detection is also  increasing. By using advanced AI technologies and algorithms, this technology easily identifies manipulated content like videos or images that have been altered to misguide viewers. This tool holds utmost importance in creating a safe environment where people can trust and feel secure on these platforms, and it also helps to prevent fraudulent activities. 

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How Can JPLoft Help You Integrate AI in Social Media Platforms?

In this digital world, social media apps are the most vital means of communication. For this reason, it has become a necessity to upgrade your social media platform with trending AI development solutions. 

With 12+ years of experience, JPLoft is a leading AI development company that can be your partner for channelling AI to transform your social media platform. With our team of experts, we have helped many businesses automate their workflows and generate revenues.

 Our social media developers are skilled in building an app from scratch and making it stand out with unique and advanced features. We ensure that we meet your unique business requirements while ensuring maximum ROI. 

Our professionals come up with social media strategies that utilize the latest trends and technologies and keep you ahead of the competition. With our informed decision-making and streamlined development process, our social media app development services can ensure maximum ROI from your robust social media app. 

Let's connect to learn how we can explore the ideas of AI in the social media industry and reform your business. 

The Bottom Line 

After analyzing the statistics and other aspects of AI in social media, it is safe to say that AI development is creating a good business from social media apps. AI technologies like  NLP, ML, computer vision, and more are the reasons behind the higher engagement and maximum market revenue of social media apps. 

AI in your social media app could help you understand content creation, video analysis, real-time monitoring, and customer support. By studying the top usage of AI, you can determine the purpose of using artificial intelligence in your app. 

However, you might come across several challenges, including data privacy, biased AI, and unethical use of AI. Social media app development has reached a certain height, and to match that, you need a compatible team of social media developers. With the right team, you can explore a wide range of opportunities to use AI in your social media app. 

FAQs

1. What exactly does AI in social media mean? 

AI in social media explains the role of AI development in areas of the social media landscape. From analysing user behavior to identifying faces, AI tools make the social media app advance and bring users the best experience they can ever have. Also, the AI in social media has made the brand advertising easy because now you just need to give directions and AI would curate a targeted campaign in the most reactive way possible. 

2. How does AI influence social media?

AI has a great impact on social media and now people are embracing this revolutionary change. It enhances user interactions, personalises their feeds, and always be available for answering their queries. As for businesses, it streamlines their marketing, customises their content and tracks the user behaviour, leading to more productive and efficient results. 

3. What are the key AI technologies used in social media platforms? 

AI technologies such as chatbots, machine learning, natural language processing (NLP), computer vision and AR/VR are used commonly in social media apps. These technologies enable the platform to interact with users, detect spam content, analyse user data and automate tasks to offer enhanced user experience. 

4. What is the future of AI in social media? 

AI itself is called the future of technology and undoubtedly it will reform the digital landscape. 

AI can be used differently for social media app development. You can use it as a filter, customer support, analysing tools, etc. In future we may witness more advanced versions of AI in social media that would not only benefit the users but also the brands. 

5. How do the best social media apps leverage AI for their platforms? 

Sentiment analysis, predictive analysis, facial recognition, content moderation and voice recognition are some of the best use cases of AI in top social media platforms. All these uses help the brands to understand their users and increase their brand visibility. 

6. How much does it cost to integrate AI in social media? 

Integrating AI into your social media app is not as easy as it seems. It requires in-depth knowledge of artificial intelligence and hands-on expertise in the industry. The exact cost of the development cannot be determined as it varies depending on various factors like development team size, tech stack used, UI/UX design, and many more. As for the time, Ai integration is a lengthy process so sometimes it may take a few weeks, months or even a year depending on your expectations from your final product.