Published Paper Details:

The role of social network is to enable individuals to simultaneously share information with their peers. The communities meet in person or share ideas and experiences over internet. Unfortunately the social network is misused to spread malicious information which adversely effects the society.This malicious information affects the sentiments of people and also the reputation of social network. For example during 2016 election, voting polls were falsely predicted and spread all over social media but later due to false predictions it deeply affected the sentiments of the political parties. In this work, we are focusing on fastest growing social media profoundly known as twitter. To overcome the impact of the malicious information, in our work we propose a technique which is modelled analytically by considering reputation of social network and user experience to access, analyse and validate the information .The proposed system will be validated with respect to reliable tweets obtained which will prove that the impact of malicious information will be reduced by 24% compared to existing system.