期刊
EURO-PAR 2021: PARALLEL PROCESSING WORKSHOPS
卷 13098, 期 -, 页码 417-427出版社
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-031-06156-1_33
关键词
Social media; Trust; Reputation; Sigmoid model; Community engagement
资金
- European Union [825134]
Social media platforms pose trust challenges due to the vast amount of content. This paper proposes a data-driven tool called SMART for trust and reputation management. SMART utilizes expert systems and a rescaled sigmoid model to compute weighted trust ratings and user reputation.
Social media platforms are becoming increasingly popular and essential for next-generation connectivity. However, the emergence of social media also poses critical trust challenges due to the vast amount of created and propagated content. This paper proposes a data-driven tool called SMART for trust and reputation management based on community engagement and rescaled sigmoid model. SMART's integrated design adopts a set of expert systems with a unique inference logic for trust estimation to compute weighted trust ratings of social media content. SMART further utilizes the trust ratings to compute user reputation and represent them using a sigmoid curve that prevents infinite accumulation of reputation ratings by a user. We demonstrate the SMART tool prototype using a pilot social media application and highlight its user-friendly interfaces for trustworthy content exploration.
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