Facilitating Research for IoT-Based Vehicle-to-Everything (V2X) Survey Web Application Design

With the development of the Internet of Things (IoT) related applications, multiple requirements and massive raw data will be generated accordingly. How to address the requirements for versatile survey creation and participation across diverse linguistic environments still is a challenge. This paper aims to propose a potential analysis method to distinguish multiple types of news on social media while facilitating user engagement and relevant data collection by a cloud-based Fakenewz web application. Based on the integration of various question types, multilingual support, and graphical data representation, Fakenewz caters to the evolving demands of survey production and feedback gathering, which enhances user experience, and the effectiveness of multilingual support in survey deployment. The results emphasise a strengthened foundation, improved user interaction, and innovation within the online survey landscape.