18 May 2025

AI Is About to Change Social Media

Watercolor-style illustration of a megaphone with a 'News' sign above it, set against a soft blue and orange abstract background - The Coinomist

Artificial intelligence is reshaping the way we interact with social media. From automated content creation to sentiment analysis, AI enhances personalization and improves the overall experience. But how exactly does it work? Let’s take a closer look.

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Automating Content Creation and Scheduling

Modern AI-powered tools like Indie AI help users automate social media management. Virtual assistants can generate personalized content for platforms like X, Instagram, and LinkedIn, saving time and effort. These applications allow users to maintain a consistent social media presence without the need for constant manual posting.

Another innovative solution is CREATI.AI, which not only assists with text creation but also analyzes trending content to recommend the best posting times and styles for maximum audience engagement. These multifunctional platforms can transform images into text, generate videos from descriptions, and create soundtracks for slideshows.

Weekly content creation updates on CREATI.AI – The Coinomist
Weekly content creation updates on CREATI.AI. Source: creati.ai

AI-Powered Content Curation

AI has the ability to analyze vast amounts of data and identify the most relevant content for specific audiences. Platforms like Crowdynews use AI to curate content from various social media sources, ensuring real-time updates that keep readers engaged. This helps users effortlessly provide their audiences with fresh and relevant information.

Additionally, AI-driven tools like Pocket and Feedly are already successfully analyzing user preferences on platforms such as Facebook and Instagram. By tracking interactions like views and likes, these systems recommend personalized content, making information consumption more seamless and intuitive. Their integration enhances user engagement, improves conversion rates, and reduces the time spent searching for relevant and safe content.

Sentiment Analysis and Audience Engagement

AI-powered tools can analyze user posts and comments to gauge the overall sentiment of an audience. Using natural language processing (NLP) and machine learning models like Sentiment Analysis, these tools assess the dominant tone of interactions.

Beyond social media, they can scan emails, customer support chat logs, and product reviews in online stores. In just seconds, they process text and detect key emotions, including positivity, neutrality, explicit negativity, and even subtle passive aggression.

These insights help refine content strategies. If the system detects a rise in negative comments, it may suggest adjusting the tone of posts, adding clarifications, or running surveys to gather feedback.

AI-powered chatbots like Chatfuel and ManyChat also improve customer support by providing instant responses to common questions and assisting with problem resolution. This enhances the brand experience, strengthens audience and customer loyalty, and keeps users engaged with relevant content.

Combating Misinformation

AI is already playing a vital role in tackling misinformation on social media. During the Korea Blockchain Week in September 2024, Ethereum co-founder Vitalik Buterin suggested leveraging AI-powered prediction markets to improve fact-checking within community notes on social platforms. The idea is for AI agents to assess whether a post might be perceived as misleading and proactively provide additional context before misinformation spreads. By reducing response times and limiting the reach of false information, AI can help make social media a more trustworthy source of information.

AI tool for social media management – The Coinomist
AI tool for social media management. Source: newsguardtech

For this task, advanced machine learning algorithms, including neural networks like BERT and GPT, analyze text to identify potentially false information. These models compare content with verified sources, assess publication credibility, and flag suspicious posts. Some applications, such as Logically and NewsGuard, use AI for fact-checking and labeling unreliable news, helping users navigate the information landscape. Additionally, these AI tools enhance audience trust in content creators and news platforms.

Related: Meta Tests Celebrity Facial Recognition Features

AI-Powered Content Curation Tools

A variety of AI-driven tools help with content curation for social media. For example, Curata uses artificial intelligence to analyze large volumes of content and identify the most relevant and engaging material for a specific audience. These tools make it easier to create personalized content feeds, schedule posts, select appropriate hashtags, and conduct in-depth analytics, ultimately improving the effectiveness of social media strategies.

Other platforms like UpContent and BuzzSumo help users discover trending content and determine which topics resonate most with audiences.

For a closer look at our experience testing similar tools, check out our article: “AI Apps for Social Media Management.”

AI continues to reshape the way we interact with social media. From automating content creation to refining personalized feeds and tackling misinformation, its capabilities are extensive. By adopting modern tools and strategies, social platforms can become more engaging, relevant, and informative.

The content on The Coinomist is for informational purposes only and should not be interpreted as financial advice. While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, or reliability of any content. Neither we accept liability for any errors or omissions in the information provided or for any financial losses incurred as a result of relying on this information. Actions based on this content are at your own risk. Always do your own research and consult a professional. See our Terms, Privacy Policy, and Disclaimers for more details.

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