Publication Type : Conference Paper
Publisher : 2020 4th International Conference on Electronics, Communication and Aerospace Technology
Source : 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2020)
Url : https://ieeexplore.ieee.org/document/9297402
Keywords : attitude score, basic language, Big data, Big Data social media tweets, Blogs, certifiable reports, counterfeit news, Data mining, Estimation, fake reports, independent score, Jaccard, Jaccard algorithm, manipulated fake news, NAtural language processing, reliability score, robust truth discovery system, same meaning words, Scalable Robust Truth Discover, scalable truth discovery system, Semantics, Sentiment analysis, similar words concepts, Social networking (online), Software engineering, Software reliability, truth detection methods, Truth discovery, truth discovery algorithm, uncertainty, uncertainty score, Word processing
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2020
Abstract : Counterfeit news has become a significant area of research in an assortment of orders including semantics and software engineering. In this work, explanation of how the issue is moved closer from the perspective of basic language taking care of, with the target of building a system to perceive deception in news. The main challenge in this area is gathering quality data, i.e., events of fake and certifiable reports on a reasonable scattering of subjects. In this paper, a unique truth detection system with similar words concepts is added to the scalable and robust truth discovery system used earlier. By the use of similar words concepts, the manipulated fake news can be detected much easier and faster. The features add up same meaning words which are compared using Jaccard algorithm in the main algorithm to detect more number of fake news with reliability score. The reliability score is calculated by combining independent score, attitude score and uncertainty score. The implemented software is found to be having better accuracy and results compared to existing truth detection methods.
Cite this Research Publication : M. Singh and Sampath, N., “Truth Discovery Algorithm on Big Data Social Media Tweets”, in 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2020.