A Comprehensive Survey of Datasets Used for Spam and Genuineness Views Detection in Twitter

Abstract

Social media is one of the evolving platforms to share the views. The social media such as Twitter, Instagram, Facebook, and other microblogging sites floats lot of information from one corner of the world to another corner. This information can be used for the various purposes. Social media plays major role in collection of wide variety of information. This wide variety of information can be used to extract sentiments, opinions, spam, and genuineness of views shared by the users. To perform the experimentation, proper datasets should be available. In this survey paper, we have throws light on the recent datasets used for experimentations. We have analyzed the results obtained by using various datasets and its performance. By comparing the results and performance, we try to analyze the suitable domain datasets which will give the better results after applying various methods, techniques, and algorithms.