In today’s world, celebrities use social media not only to connect with their fans and followers but also to shape public opinion and influence behaviors.
There is a growing amount of data points available on users interacting with posts shared on social media. AI can help analyze this data and offer insight into patterns that will help PR teams craft the next viral post.
What is the role of AI in analyzing social media trends?
Artificial intelligence has revolutionized the analysis of social media trends. As the user base of social media platforms grows, it becomes increasingly difficult to find meaningful patterns and useful insights using traditional methods.
AI can not only make this painstaking work easier but also provide even deeper insights into consumer behavior and sentiments than before. This makes influencer marketing even more effective as brands can now measure the “influence” a celebrity has over their followers.
What are the use cases for AI in social media analysis?
Here is how AI can help in analyzing social media trends:
Sentiment Analysis
Today, AI is used in most of the top-rated sentiment analysis tools. The natural language processing (NLP) capabilities of AI allow sentiment analysis tools to scale at a much faster rate.
This is one of the key aspects of trends analysis that brands rely on for building and testing their social media campaigns.
Engagement Metrics
Another way to gauge the impact of a social media post is to track the engagement metrics e.g. likes, shares, comments, retweets, etc. For brands looking for the perfect influencer to promote their products, AI can rank the top influencers as per their engagement score.
Trend Prediction
Making predictions is at the core of machine-learning algorithms. As such, it is natural to expect AI models to predict future social media trends based on historical data. The better these predictions AI makes, the more fine-tuned a brand’s social media strategy can be.
How AI Can Help Brands Leverage Celebrity Social Media Influence
Data-driven copywriting for higher engagement
The above-mentioned tools, in addition to a host of other factors like demographics and competitor analysis, culminate in one winning strategy. This strategy is multi-faceted and goes beyond just numbers.
Once the data shows which influencer has the best reach and engagement in the specific niche, the writers can now get to work and craft the best copy to be posted on the celebrity’s socials.
Finding the perfect fit for brand collaborations
Sports personalities tend to have a huge following. And there are a variety of brands that can promote themselves using the influence of these celebs. From nutrition and sports kits to online gaming and casinos, sports have marketed a variety of products.
Let’s take, for example, an online gaming brand that is looking to promote its newly launched online casino. Analyzing the celebrity/influencer’s engagement metrics, demographics, and the impact of the posts on their socials, AI can help find the right influencer for the online casino to collaborate with.
Best Sentiment Analysis Tools
Here are some of the best and most highly rated sentiment analysis tools:
Brandwatch
It is not just a sentiment analysis tool. It is rather a suite of tools that help in social media research including sentiment analysis. It tracks brand mentions across various platforms, analyzes sentiments and categorizes them as positive, neutral, and negative.
Meltwater
Meltwater can help PR teams form data-driven strategies for creating content for social media platforms. Its AI-powered tools offer insights into the audiences’ opinions of the brand by analyzing the sentiments of the posts.
InMoment
This is different from the tools. InMoment is focused on experience management and uses Lexalytics’ AI to run sentiment analysis from texts across various sources. InMoment supports over 30 languages and dialects making it one of the most powerful AI-driven experience management platforms.
Conclusion
The role of AI in social media is beyond just creating content and generating images and hashtags for the posts. Social media research and management is a chapter in AI’s journey. And the brands that understand this are making the most of AI-powered tools for data analytics.
Today, AI can help launch much better media campaigns than in the history of advertising.
