Trust Crawler: An Automated Verification Tool
Ts. Mohamad Nazri bin Khairuddin Yap

Data science niche: Foundations of Data Science

There are difficulties in determining the trustworthiness of information, especially on social media. This study focuses on developing an approach that assists social media users to make judgments on the information they obtained from social media. For this reason, an approach has been developed to verify the trustworthiness of information in social media by using an automated tool named TrustCrawler. In this study, the automated approach has also been evaluated for its usability and functionality. TrustCrawler is a tool which capable to generate the degree of trustworthiness of the information. Specifically, users who want to identify the trustworthiness of social media information can feed into the information in the system. Once the information is inserted into the tool system, the tool will objectively determine the level of trustworthiness based on the algorithm. The level of trustworthiness identified as either high, average or low will then be displayed.