Developing rumor identification analysis on online social network with efficient cure search

Abstract

Social sites have emerged as an ideal platform for content sharing and searching in modern era. With the exponential growth of users, social media has gained more attention than mass media. Social media serve as a discussion panel for authenticated users. This offers users to share their contents on social media. But, it may be either genuine or not. In such circumstances, there is a possibility of spreading false information among peoples. This may affect the trustworthiness of users about social media. Hence, it is essential to check the veracity of rumor in social media. So, we propose some strategies for rumor identification by analyzing the user behaviours. Beyond this, for enhancing the efficiency and accuracy of traditional searching in social media, we propose a time consuming searching strategy called CURE search. CURE search is dynamic attribute search in which exact match can be found out from similar profiles from catalogue with better speed.