- Title
- How much I can rely on you : measuring trustworthiness of a twitter user
- Creator
- Das, Rajkumar; Karmakar, Gour; Kamruzzaman, Joarder
- Date
- 2021
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/176319
- Identifier
- vital:15104
- Identifier
-
https://doi.org/10.1109/TDSC.2019.2929782
- Identifier
- ISBN:1545-5971 (ISSN)
- Abstract
- Trustworthiness in an online environment is essential because individuals and organizations can easily be misled by false and malicious information receiving from untrustworthy users. Though existing methods assess users' trustworthiness by exploiting Twitter account properties, their efficacy is inadequate because of Twitter's restriction on profile and tweet size, the existence of missing or insufficient profiles, and ease to create fake accounts or relationships to pretend as trustworthy. In this paper, we present a holistic approach by exploiting ideas perceived from real-world organizations for trust estimation along with available Twitter information. Users' trustworthiness is determined by considering their credentials, recommendation from referees and the quality of the information in their Twitter accounts and tweets. We establish the feasibility of our approach analytically and further devise a multi-objective cost function for the A
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- IEEE Transactions on Dependable and Secure Computing Vol. 18, no. 2 (2021), p. 949-966
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2019 IEEE
- Rights
- Open Access
- Subject
- 0803 Computer Software; 0804 Data Format; 0805 Distributed Computing; Reliable communication; Security; Social networks; Trustworthiness
- Full Text
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