STUDY OF VARIOUS IMPLEMENTED APPROACHES FOR RUMOUR DETECTION OVER SOCIAL MEDIA PLATFORM

Abstract

The rapid growth of World Wide Web has resulted in substantial increase in use of social media.Social interactions can be inferred on the web using the mailing list and home page links. It also represents the social lives of the individuals, collaborations, communities and relationship. Social networking groups are becoming increasingly important due to the volume and activities. The social media data consists of comments, Feedback and reviews.Rumour detection is used for text classification which classifies text into Positive, Negative and Neutral. The increasing use of social media platforms for information and news gathering, its unmediated nature often leads to the emergence and spread of rumours. The aim of the survey is to provide a study on various implemented approaches for rumour detection over social media.