Deception Detection Approach for Data Veracity in Online Digital News: Headlines vs Contents

Veracity is a way to find the truthfulness, availability, accountability and authenticity while deception refers to the way of identifying whether verbal expressions or the overall content is truthful or not. Among the issue in data veracity is the use of deception element in digital news content. Many research have been conducted to address the issue of deception especially in news content they proposed machine learning-based approaches to detect deception in news content. In this paper we compare available deception detection model to improve deception detection accuracy for online digital news veracity. We also proposed a framework to improve deception detection accuracy over digital news portal focusing on headlines. Furthermore, this paper also discussed potential directions for future research in deception of online news.