How AI is Influencing Social Media?

Stephen Hawking said, “Success in creating AI would be the biggest event in human history. Unfortunately, it could be the last. So we cannot know if we will be infinitely helped by AI, or ignored by it.”

AI is creating history, as we all know. But what we don’t know is whether AI is helping us or just replacing us. Well, to go into detail, we need to see the future. And to go into the future, we need to live present.

One of the great uses of AI can be seen in our day-to-day lives is in Social Media. Did you notice how you can see the posts that you like the most? Why does your feed not seem similar to your friends with different interests? How do social media platforms know what you want to experience?

Yes, all these questions have one answer, “the power of AI influencing social media”. Amazed, right? If you are planning to develop a social media app, and are confused about whether to use AI or not. If so, you have landed in the right place.

Here, we are going to detail how AI is used in social media, different AI technologies and their implementation, benefits, top cases, challenges, and the future of social media with AI. So, let’s begin the journey of learning how AI is used in social media.

Understanding AI in Social Media

Do you know what an AI is? It is the simulation of human intelligence within machines, which are programmed to act, think, and mimic human actions. They are advancing the applications and systems in various fields, including social media.

Now, let’s understand how AI is influencing social media.

AI is changing the way humans interact with each other. It is developing a medium through which the brands can reach out to the people easily. According to Aaron Mok, “Marketing teams are using AI to generate content, boost SEO, and develop branding to save time and money”.

Artificial Intelligence is transforming social media by delivering more personalized content, which is efficient and also engaging users as well as businesses. Distinguishing whether an ad is human or AI-generated is difficult. This represents the growing value of AI in marketing worldwide.

Here are some stats that can help you in understanding the widespread use of Artificial Intelligence and social media.

• In 2021, the market for AI was estimated at 84 billion U.S. dollars. It is projected that the value of the market will increase to more than 107.5 billion by 2028.
• AI in the social media market has grown exponentially; it is estimated to grow from $1.68 billion in 2023 to $2.16 billion in 2024, with a compound annual growth rate of 28.5%.
• The market size of using AI in social media is expected to reach USD 7.25 billion by 2029. The market size is increasing at a CAGR of 28.04% as per the forecasted period of 2024 to 2029.

• Based on the March 2023 survey, 74% of the marketers said that AI has helped them in raising their search engine results page (SERP) ranking.
• While 80% have realized that AI has increased the user experience on their site. However, 84% of respondents state it has helped in aligning web content with search intent. This displays the impact of AI and networking platforms.

Do you know, with the growing number of users on social media, the demand for using AI is increasing? It is estimated that social media users are expected to grow by six billion by 2027.

Also, with the increased number of users, the time spent on these platforms is continuously increasing. This displays the growth of media & entertainment app development companies in the current era.

Understanding how to use AI in social media, you can see the diverse implications of AI in shaping the social media landscape. It is used in recommending content, user engagement, trend prediction, sentiment analysis, and a lot more. To know more, please check the top use case section of this blog for this detail.

AI Technologies in Social Media

After knowing about the usage of AI in social media platforms, are you eager to know about the AI technologies that are being used in social media? If yes, then here you can move forward.

The implementation of Artificial intelligence on social media can be defined by the diversified usage of technologies and their types for increasing user engagement on these platforms. Here you can find the types of AI technologies with their usage in social media.

1. Natural Language Processing (NLP)

NLP is a branch of AI that is focused on building interaction between humans and computers through natural language. It is a type of algorithm, technique, and model, which are being used to interpret, understand, as well as generate human language in a way that represents meaningful content.

It is used over social media to identify and gauge users’ sentiments towards a certain topic, keyword, product, event, or article.

2. Machine Learning (ML)

Machine learning is a type of program where computers are designed in a way that they can adapt to things as humans. These programs are utilized in social media for content personalization.

Using different ML algorithms and deep learning methods, personalized content can be delivered to the user. A guide to machine learning apps that can assist you in engaging a wide audience and users for your app.

3. Computer Vision

To understand AI use in social media, it is essential to understand its diversified technologies, elements, and their usage. Computer Vision is one of them, where computers are programmed to analyze and interpret virtual information in the real world.

Computer Vision is used to identify and recognize images and videos. It is also important to remove inappropriate images, content, and videos from the app, and restrict users from sharing them.

4. Recommender Systems

Recommender systems within social media can be defined as algorithms that also suggest relevant content to users. These systems work to help users predict the data, narrow it down, and then find what people are looking at among the growing number of options.

Such systems are also useful in social media to recommend groups, posts, and friends which can be as per the interest of the user. You can create a social media app with recommender systems that can help you to drive user-specific content, by permitting the user with a personal virtual Chatbot.

5. Chatbots and Virtual Assistants

Chatbots and Virtual assistants are termed as a form of limited memory AI. These are among the AI tools for social media marketing. Such platforms are designed for initiating human-like conversations as well as interactions over different social media platforms.

AI Chatbot development aids the social media user to have assistance over an issue. It also helps the brand with customer service to performing marketing automation.

The Benefits of AI in Social Media

Did you know that with the latest technologies in your app, you can be among the best social media apps? Are you thinking, what will happen if you implement the latest AI technologies in social media apps?

Know the benefits of AI and how social media can assist you in building your app. So, shall we proceed with the advantages of AI within social media?

1) Enhanced User Interaction

The use of AI in the app can help deliver more efficient as well as responsive user interaction. With the usage of Chatbots and virtual assistants, businesses can easily connect with their users. By providing task automation services to the customers, AI displays content to the user that they want to see.

2) Content Creation

AI for social media is also essential in content creation, useful for producing as well as sharing information to offer high-quality, personalized, and engaging content.

Also, with the help of this tool, businesses can generate user-personalized content even faster and in a cost-saving manner. With Chatbots, businesses are now capable of developing content in a more precise and effective way.

3) Deliver Personalized Content

With AI, businesses can provide personalized content and use it to identify the preferences of the customers. AI can also be useful for tailoring and developing strategies based on user behavior and interests.

Did you know that social media and artificial intelligence are a great combination? Social media AI can be impressive in delivering effective content that can improve the brand’s conversation with customers.

4) Targeted Advertising

AI algorithms are being developed in a way to deliver targeted advertising to businesses.

It also assists businesses in displaying relevant ads to the right audience, maximizing the return on investment, and improving the relevancy of the advertising in social media marketing.

Artificial Intelligence in social media can optimize ad targeting by evaluating user preferences.

5) AI Tools are Cost-Effective

The algorithms of AI are designed to automate repetitive tasks. By reducing the requirement of manual labor, businesses can successfully achieve cost savings with increased operational efficiency and productivity.

AI tools are developed in a way that they analyze customer data as well as customer behavior to deliver content based on the user’s interest. The cost of building a social media app is not as much as you think; it is feasible with AI tools.

6) Real-time Monitoring and Responses

Media and entertainment apps target the audience by ensuring real-time monitoring of the responses to posts on social media.

By enabling real-time tracking of the mentions, hashtags, as well as conversations related to brands, products, and topics of interest, the brands track the users’ data. With the help of analyzing the trends, the AI tools provide actionable insights.

7) Provides Automated Customer Support

With the AI-powered Chatbot as well as virtual assistance, the technology provides automated customer support services.

Such a Chatbot and a virtual assistant provide 24/7 assistance to the users. They resolve customer queries efficiently and quickly.

Also, here businesses can successfully reduce human interactions as well as customer service costs. A guide to chatbot development can help you understand their implementation in detail.

8) Useful for Influencer Marketing

AI-powered tools such as talk walkers and brand watches are being used for analyzing the influencer’s performance.

Brands are taking help from AI application development companies to manage the implementation of AI for the brand’s influencers. However, they are using them to identify the influencers’ engagement with the brand.

Top Use Cases for AI in Social Media

Hello reader! Are you tired of learning about the benefits of AI within social media? There are so many that you might be wondering if they work.

We’ll help you with the practical case implementation of AI. Hire mobile app developers to implement artificial intelligence in social media. Here we will provide you with all the real-world case scenarios for adopting AI within media practices.

(i) Sentimental Analysis

In this type of analysis, social media prominently delivers content based on the current sentiments of the users. The AI algorithms process the tokenization of the data.

Moreover, this step is useful in standardizing as well as normalizing the text. These types of models are being designed for performing aspect-based sentiment analysis. They also detect emotions and deliver the content accordingly.

(ii) Predictive Analysis

Social media also makes use of AI to perform predictive analyses to forecast the performance of content before posting it.

After analyzing the historical data, AI models can effectively predict the factors, including engagement metrics, conversion rates, and reach towards the customers. The AI-powered algorithms are designed for analyzing the data for emerging trends.

(iii) Identification of Influencer

AI-powered tools are being developed to identify and potentially reach the influencers for your brand based on their engagement rates with customers.

Did you know that with the use of AI, marketers can identify whether the followers of influencers match the target market demographics?

Yes, it helps them to improve their reach towards potential influencers for their brand.

(iv) Social Listening

Diversified companies use AI-driven social media tools for monitoring social media conversations during emergencies as well as crises.

By analyzing the real-time trends within the app, the companies can recognize issues and can also evaluate public sentiments to reduce reputation damage and also for minimizing the negative impact of social media app development trends on the brands.

(v) Social Network Analysis

The AI algorithms are designed in a way to monitor the brand’s mentions using hashtags.

Moreover, they can structure the wide dynamics of social networks for recognizing various key communities and influencers.

They are also used for evaluating the relationships of the brand with diversified customers and influencers. AI algorithms are designed to develop and map connections between users and brands.

(vi) Demographic Analysis

Apart from the above, the AI algorithms are designed to analyze the social media data to evaluate the demographic information related to the users, including gender, location, age, and interest.

Artificial Intelligence development companies know well that determining the demographics assists businesses in making marketing strategies. This information also helps in detecting events as well as in performing trend analysis.

How Social Media Apps are Leveraging AI?

After knowing the cases, you need to recognize the usage of AI in applications. Are you interested in knowing how the current social media apps use AI to assist their end-users?

With the given information, you will be able to study different social media apps and their use of Artificial Intelligence.

1. Facebook AI Advertising Features

With the help of sandbox features, Facebook is continuously investing in AI. They have also introduced different innovations that assist advertisers in creating as well as delivering effective digital paid ads.

Did you know that Facebook uses AI algorithms to create personalized user news feeds? Yes, it’s true.

Facebook utilizes algorithms for analyzing different factors, including post content, user interactions, and relevance, for prioritizing the content. Also, with the advanced features of AI, the advertisers can switch to transform existing manual campaigns.

2. Twitter Uses AI-Generated Tweets

AI-generated tweets are tweets that are being designed with the use of NLP, for understanding the content of tweets and for generating new tweets that are completely based on data patterns.

Twitter, now X, also uses tools for detecting and removing spam, as well as abusive and hateful speech over the platform. These are natural techniques for identifying and analyzing text data.

This data is often helpful for maintaining a safe as well as healthy online environment. Did you know that X makes use of TweetStorm for generating AI tweets? Yes, this tool also helps in generating relevant hashtags.

3. Image Recognition on Instagram

Instagram uses various AI tools that help the app to deliver effective content to its audience. Also, the platform uses computer vision technology to automatically identify objects, places, and people within videos and photos.

Do you know, Lensa is a popular photo editing and AI art app used for detecting images and videos? Yes, this tool helps Instagram users to post edited photos.

In this scenario, computer vision technology is also being utilized for automatic photo tagging, accessibility features, and content recommendations. They use advanced algorithms for analyzing and interpreting visual content within images.

4. LinkedIn Uses AI to Assess Talent

The platform uses skills assessment to bring the candidates to represent their capabilities as well as abilities in a better way. How do you think LinkedIn evaluates highly talented candidates? Absolutely AI helps them to do that.

The LinkedIn platform makes use of AI for analyzing skills, predictive analysis, and also for recognizing trends within the job market to inform hiring strategies.

Moreover, the platform implements AI algorithms to match job opportunities with job seekers. Also, these tools assist businesses in filtering out the job profiles of the candidates to enhance recruitment procedures.

5. YouTube uses AI-powered algorithms

Have you thought about how YouTube provides you with content recommendations based on just one searched video? What helps YouTube to do that? Yes, AI helps the platform to power content moderation.

With the assistance of AI-powered recommendation systems, the platform is designed to deliver the best and most engaging content in front of YouTube’s users. AI is assisting the platform to identify the violated content at scale. Here, the reviewers help YouTube to confirm whether the content has crossed the policy guidelines.

6. Snapchat Uses AI to Recommend Accounts

This is a wonderful platform that provides you with recommendations based on the contacts you have. Snapchat makes use of AI to suggest relevant accounts to follow and stories to view, and also to identify content based on the user’s interests.

Do you know that Snapchat makes use of augmented reality technology powered by AI for developing and creating interactive AR filters as well as effects?

Yes, the filters that you use on the Snapchat platform are driven by AI. Also, these filter overlays virtual elements on photos and real-time videos.

Challenges and Limitations

As you have learned about the usage of AI by multiple brands, now it’s time to identify the types of challenges and issues of using social media and AI.

Do you think that the implementation of AI for social media app development can bring challenges to you? Yes, it can. Let’s study all of them and their impacts.

A. Data Privacy and Security Concerns

AI algorithms are capable of analyzing a vast amount of data, developing user-detailed profiles, tracking user behavior, and predicting user preferences. There is a vast risk that the data can be compromised.

The data can comprise purchase behavior of the customer, browsing history, and also sensitive information such as financial data, as well as medical history.

Moreover, if the data falls into the wrong hands, it can be used for immoral purposes. Thus, mobile app security and data privacy play a vital role here.

B. Unethical Use of AI in Social Media

The rapid advancement of AI technologies and their usage have started to raise ethical questions related to policies and morality. These questions include obtaining consent from people about their data, and questions related to the accountability of user data.

Also, the potential for AI manipulation to acquire relevant data can be a risk for using AI in social media. Social media platforms also face ethical dilemmas to the responsible use of AI.

C. Biased AI Algorithms

To implement AI for social media platforms, it is essential to develop algorithms. AI algorithms are used in social media as black boxes, which makes it difficult to identify and understand how social media influences the decisions of users.

Biased AI algorithms can result in the development of discriminatory practices, echo chambers, and the extension of false content over the media. Lack of transparency can result in loss of user trust, hindering the accountability of the brands. This can impact user engagement.

D. Spread of Misinformation and Inaccurate News

Social media platforms are used to spread news and information across the world. They act as a useful tool to keep people informed and updated regarding current incidents and activities. Moreover, the spread of misinformation and inaccurate news can affect society.

The AI-powered algorithms also struggle between accurate information and misinformation. It results in creating challenges for social media apps to combat the spread of fake news and misinformation.

E. Regulatory Compliance

One of the major challenges faced by social media platforms is related to complying with different regulations and legal requirements related to privacy, content moderation, and also with consumer rights.

The social media app should be developed after analyzing the guidelines regarding privacy concerns. Additional complexities for using AI in social media practices include addressing AI-specific issues, including algorithm bias, accountability, and transparency.

The Future of Social Media with AI

Till now, you have studied the use of AI in social media, its benefits, AI technologies in social media, top use cases, and challenges. You might be thinking of its future, right?

With the emerging use of social media and AI, its future has expanded. Do you know that AI technology will continue to enhance the features of social media?

You read it right. AI has a wider scope of growth to use in social media. How! Let’s study some aspects, then.

1] Use of Generative AI

The increasing trend of using generative AI within social media has encouraged the use of text, images, and videos for delivering and creating unique content. Here, creating an app with ChatGPT can also be possible with the use of generative AI.

Tools like Vondy have also revolutionized how unique content is developed and shared across platforms.

This future opportunity for creating content opens up new opportunities for creating content on social media. This future opportunity for creating content opens up new opportunities for creating content on social media.

2] Future in AR and VR

The implementation of AI has widened the future of AI-powered augmented reality and virtual reality technologies that have revolutionized social media by enabling immersive experiences for users.

AI-driven avatars and characters are developing new opportunities for social interaction and collaboration. This can also be referred to as a social media agent, as in artificial intelligence.

3] Promoting Brand Campaign

Currently, many brands are using AI tools on social media platforms to promote their brands and create images via computer vision technologies.

With the usage of AI, the brands are utilizing logo detection for evaluating and analyzing the images. These images are useful for featuring the products on social media platforms.

4] Advanced Sentiment Analysis and Social Listening

Another major aspect that defines the future of AI is its implementation in detecting advanced sentiments and conducting social listening.

With the advancement of technology, the detection of user intention and emotions can be strengthened over time. This can provide more accurate posts and content to the user, which can also promote the aspect of social listening.

5] Room for Designers

In the future, AI can create room for the design to enhance the quality of social media posts for developing designs that are aesthetically pleasing and can be optimized for social media platforms. The future of AI in social media is emerging and widening the scope for UI/UX designers to create designs more influential and convincing to users.

How Nimble AppGenie Can Help You Implement AI In Social Media Apps?

The shift in landscape and preferences of Generation Z is regularly shaping the future aspect of social media. It is creating a wide scope for developing a social media app.

Nimble AppGenie is a social media app development company with expertise in app development. We also have a defined portfolio that you can go through to understand our grasp of new technologies.

If you are planning your idea, you can contact us to turn into a social media app. We are here to help you with all that you need.

Contact us to find out more.

Conclusion

With the identification of current stats for using AI and social media, it has been found that AI is creating an immense business for social media apps. With the assistance of AI technologies, including NLP, ML, computer vision, and more, the app business can earn maximum revenue in the market.

The usage of Artificial Intelligence in social media can help you enhance the user-content creation, real-time monitoring, and customer support.

With the top use cases of AI usage in social media, you can determine the prospective use of artificial intelligence for your app.

However, there can be certain challenges that you might face, including data privacy, biased AI algorithms, and unethical usage of AI.

Moreover, with the help of the right team, you can manage these challenges. The section related to the future of AI depicts the opportunities for you to develop a social media app efficiently.

FAQs

Niketan Sharma

Niketan Sharma is the CTO of Nimble AppGenie, a prominent website and mobile app development company in the USA that is delivering excellence with a commitment to boosting business growth & maximizing customer satisfaction. He is a highly motivated individual who helps SMEs and startups grow in this dynamic market with the latest technology and innovation.