Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Collaborative assessment of information provider's reliability and expertise using subjective logic

Pelechrinis, K and Zadorozhny, V and Oleshchuk, V (2011) Collaborative assessment of information provider's reliability and expertise using subjective logic. In: UNSPECIFIED.

Available under License : See the attached license file.

Download (792kB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)


Q&A social media have gained a lot of attention during the recent years. People rely on these sites to obtain information due to a number of advantages they offer as compared to conventional sources of knowledge (e.g., asynchronous and convenient access). However, for the same question one may find highly contradicting answers, causing an ambiguity with respect to the correct information. This can be attributed to the presence of unreliable and/or non-expert users. These two attributes (reliability and expertise) significantly affect the quality of the answer/information provided. We present a novel approach for estimating these user's characteristics relying on human cognitive traits. In brief, we propose each user to monitor the activity of her peers (on the basis of responses to questions asked by her) and observe their compliance with predefined cognitive models. These observations lead to local assessments that can be further fused to obtain a reliability and expertise consensus for every other user in the social network (SN). For the aggregation part we use subjective logic. To the best of our knowledge this is the first study of this kind in the context of Q&A SN. Our proposed approach is highly distributed; each user can individually estimate the expertise and the reliability of her peers using her direct interactions with them and our framework. The online SN (OSN), which can be considered as a distributed database, performs continuous data aggregation for users expertise and reliability assessment in order to reach a consensus. We emulate a Q&A SN to examine various performance aspects of our algorithm (e.g., convergence time, responsiveness etc.). Our evaluations indicate that it can accurately assess the reliability and the expertise of a user with a small number of samples and can successfully react to the latter's behavior change, provided that the cognitive traits hold in practice. © 2011 ICST.


Social Networking:
Share |


Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Pelechrinis, Kkpele@pitt.eduKPELE0000-0002-6443-3935
Zadorozhny, V
Oleshchuk, V
Date: 1 December 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: ColiaborateCom 2011 - Proceedings of the 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing
Page Range: 352 - 361
Event Type: Conference
DOI or Unique Handle: 10.4108/icst.collaboratecom.2011.247102
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Telecommunications
Refereed: Yes
ISBN: 9781936968367
Date Deposited: 13 Jun 2012 15:15
Last Modified: 31 Jul 2020 14:56


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item