ITEM DEVELOPMENT FOR SOCIAL TAGGING IN THE STUDY OF USAGE IN SOCIAL MEDIA COMMUNITY

• Published in: Journal of Theoretical and Applied Information Technology
• Main Author: Mazlan M.A.; Shahibi M.S.B.; Kamaruzzaman M.R.S.
• Format: Article
• Language: English
• Published: Little Lion Scientific 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127461839&partnerID=40&md5=b038827039557b8722f7c2fccf1a470e

Recent research has shown that extensive use of tagging in social media or better known by social metadata leads to emergent semantics. Much has been learnt in recent years about how to capture the data provided by taggers for the purpose of visibility and needs to trending that beneficial as marketing for businesses and public or targeted engagement such as social media community. However, little progress has been made on other issues, such as understanding the usage of tagging within specified community. which is essential for, among others, identifying social media usage relationships between concepts, this study intended to address that void. Starting from a review of metadata definitions to social media users, introduce validity of items created for the framework, applying partial least squares structural (PLS) to measure the level composite reliability, variance inflation factor (VIF), and Heterotrait-monotrait ratio (HTMT) of items of social metadata dimension. Evaluation are done by comparing with grounded measures. Results suggest that the generality of tags in social tagging systems as social metadata can be approximated with simple measurement of the newly created items. The discussion of the results leads to discovery of major findings entrench with the hypothesises. © 2022 Little Lion Scientific. All rights reserved.