Rumour Detection Model for Political Tweets Using ANN Check for updates

摘要: Evolution of technology, especially in online messaging applications, has evolved the communication era. Trending informative social messages has become a part of lives of people with its dynamic transferring capabilities. The prominent organizations profiles are identified by people based on their organizational profiles uploaded in social media. Political goons started to smartly make use of various social media platforms (eg, Twitter, Facebook, LinkedIn, Snapchat and many more) to propagate their beneficial and welfare ideologies to attract innocent voter's attention to win the elections. False promises and political rumours made by these selfish politicians have been a serious threat for this society. Many of researches depend on topic-independent political rumour detection on Twitter which has been well-known by everyone. In this paper, we proposed a rumour detection algorithm that has the ability to monitor political rumour messages based on tweets. In this paper, we have deeply surveyed recent methods developed to identify political rumours from tweets and found around eight (8) papers exclusively. Twitter usage had drastically grown up for the use of political rumours apart from WhatsApp and Facebook social sites. It is found that usage of artificial neural network for identifying political tweets is better when compared to rainforest, decision trees and KNN.