At any time of the day, anywhere in the world, more than one-half of the planet?s population has the ability to pick up their smartphones and transform themselves into actors, authors and artists. They can create and share in seconds.
This shift in the creative power has led to the rise of a new form of celebrity–the social influencer.
YouTube, Instagram, Facebook and Snapchat creators are now more popular than mainstream celebrities.
This is a remarkable shift, which means that modern-day fans have the power to choose who is famous to them. Who will they choose and why" And can machine learning successfully identify the next big social celebrities"
In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques, once properly refined, can be used to make highly accurate predictions. The process is achieved by creating models through training data that repeatedly incorporate ?if-then? statements, or ?forks.? Based on existing data, the model continues to apply such statements to new data in order to reach a conclusion that is filtered down until satisfactorily accurate. Thus far, machine learning has proven to predict health-related complications, credit risk and even suicide. As for applying machine learning to social media, it is a complex but fascinating proposition, because users interact with one another and with the content they both create and consume. This gives researchers access to u...