Tuputech, a Chinese AI company has focused on machine deep learning research to bring about a revolution in the field of content moderation. The company is involved in teaching machines to learn and judge in a manner that mimics a human’s convolutional neural network (CNN). This makes it possible for machines to take over a large part of a human’s review work, processing an average of 900 million images and video in a single day with up to 95% accuracy.
Considered as the first company to apply the machine learning AI to content moderation, Tuputech has now become a market leader in China that includes a live streaming app which helps social media platforms to save 90% of the manpower required for content review. Machine learning technology is definitely bringing good tidings to enterprises who are under the pressure to manage UGC (user generated content).
A quarter of the world’s population uses social media to spread millions of pieces of information, and this makes the social media websites susceptible to tremendous pressures of finding ways to better control the tidal wave of content published daily. There have been instances when a social media website had posted offensive images and had failed to block the content, even though many social media websites have staff employed to review online content. These situations lead to chaos and loss of brand confidence.
In the era of social media and big data, most UGC platforms are dedicating greater manpower to wrestle with the problem of content moderation in order to protect both the user community and the enterprise brand. However, there are obvious limitations of human review. As online information keeps emerging much faster than people can respond to, it is hard to always ensure the accuracy and efficiency of human review. Several companies are seeking better and more efficient approaches and are hoping to leverage ML and AI to take a bigger role and this is where Tuputech’s AI solution will be utilized.