文章基本信息

标题：Modeling Information Credibility in Time-Specific Online Social Media based on Structural and Attribute Properties
本地全文：下载
作者：Md.Habibur Rahman ; Tabia Tanzin Prama ; Md Musfique Anwar 等
期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2021
卷号：13
页码：286-299
语种：English
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：Nowadays, millions of people actively participate in online social networks (OSNs) everyday to express and share their ideas, opinions, interests, feelings about various events, governmental policies, current economics, societal debates etc. Thus, these numerous user generated contents diffuse very rapidly in OSNs through different peers in various formats such as tweets, images, videos etc. Therefore, it is very crucial to extract credible information from these mass volume of social user-generated contents. Existing research works on measuring trustworthiness of any content in OSNs are typically deliberated on contents generated by the social users. However, such methodologies overlook the prospective temporality of users’ interests as well as paid less attention to the structure of the social network. In this work, we propose an approach to measure the level of credibility of a piece of information in OSNs based on the social users’ temporal topical interests and the structural properties of the underlying social network. The effectiveness of the proposed methodology is justified using three benchmark datasets.
关键词：Online social networks;User-generated content;Information credibility;Structural property