A Comparative Analysis of Pornography Detection Models to Prevent Gender Violence

Globalization of technology has brought about a huge revolution in the field of social media due to which the world has come closer. Social media is also a platform which makes communication easier and much accessible. It enables users to interact in a more informal manner irrespective of place, time, and situation. Apart from that, there are many platforms like YouTube, etc. which allow netizens to upload their videos for various purposes. Some users upload videos that are educative and informative in nature. However, it is not always that the videos uploaded are educative and informative. Internet is flooded with videos that are very sensitive and are impermissible in nature. For example, Porn videos, which are not only impermissible but also contain such contents that it cannot be viewed by users of all ages. It is very important to control the distribution of sensitive content such as pornography which has become necessary with the ever-growing accessibility to the internet in order to restrict viewers from viewing them. There are various technological innovations like Deep learning, Artificial Intelligence, etc., which have derived many pornography detection models and they are successful in their objective fulfillment to some extent. Therefore, this paper is an attempt to study the different pornography detection models and then understand how do they prevent gender violence.