Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/62035
Title: Evaluation of Credibility Assessment for Microblogging – Models and Future Directions
Contributor(s): AlMansour, Amal Abdullah (author); Brankovic, Ljiljana  (author)orcid ; Iliopoulos, Costas S (author)
Publication Date: 2014
DOI: 10.1145/2637748.2638439
Handle Link: https://hdl.handle.net/1959.11/62035
Abstract: 

Due to their openness and low publishing barrier nature, UserGenerated Content (UGC) platforms facilitate the creation of huge amounts of inaccurate content. Consequently, assessing UGC information credibility is developing into a vitally important research topic. This paper offers a systematic review of the current developments in assessing information credibility automatically in UGC platforms, focusing on microblogging service. It covers different aspects from dataset collection and feature usage, through classification techniques, to performance evaluation. A novel theoretical credibility model which integrates the evaluators' traits and context factors to assess information credibility is also presented along with important directions for future research on UGC information credibility.

Publication Type: Conference Publication
Conference Details: i-KNOW 2014: 14th International Conference on Knowledge Technologies and Data-Driven Business, Graz, Austria, 16th to 19th of September, 2014
Source of Publication: i-KNOW '14: Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business, p. 1-4
Publisher: Association for Computing Machinery
Place of Publication: United States of America
Fields of Research (FoR) 2020: 460199 Applied computing not elsewhere classified
460208 Natural language processing
Socio-Economic Objective (SEO) 2020: 220499 Information systems, technologies and services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Series Name: ACM International Conference Proceeding Series
Appears in Collections:Conference Publication
School of Science and Technology

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