Alexandria Digital Research Library

Information Reliability on the Social Web Models and Applications in Intelligent User Interfaces

Author:
Kang, Byungkyu
Degree Supervisor:
Tobias Hollerer
Place of Publication:
[Santa Barbara, Calif.]
Publisher:
University of California, Santa Barbara
Creation Date:
2016
Issued Date:
2016
Topics:
Information science, Computer science, and Communication
Keywords:
Human computer interaction
Reliability
Credibility
Data mining
Social media
Information retrieval
Genres:
Online resources and Dissertations, Academic
Degree Grantor:
University of California, Santa Barbara. Computer Science
Dissertation:
Ph.D.--University of California, Santa Barbara, 2016
Description:

The Social Web is undergoing continued evolution, changing the paradigm of information production, processing and sharing. Information sources have shifted from institutions to individual users, vastly increasing the amount of information available online. To overcome the information overload problem, modern filtering algorithms have enabled people to find relevant information in efficient ways. However, noisy, false and otherwise useless information remains a problem. We believe that the concept of information reliability needs to be considered along with information relevance to adapt filtering algorithms to today's Social Web. This approach helps to improve information search and discovery and can also improve user experience by communicating aspects of information reliability.

This thesis first shows the results of a cross-disciplinary study into perceived reliability by reporting on a novel user experiment. This is followed by a discussion of modeling, validating, and communicating information reliability, including its various definitions across disciplines. A selection of important reliability attributes such as source credibility, competence, influence and timeliness are examined through different case studies. Results show that perceived reliability of information can vary greatly across contexts. Finally, recent studies on visual analytics, including algorithm explanations and interactive interfaces are discussed with respect to their impact on the perception of information reliability in a range of application domains.

Physical Description:
1 online resource (306 pages)
Format:
Text
Collection(s):
UCSB electronic theses and dissertations
ARK:
ark:/48907/f3cn73q2
ISBN:
9781339671796
Catalog System Number:
990046534410203776
Rights:
Inc.icon only.dark In Copyright
Copyright Holder:
Byungkyu Kang
File Description
Access: Public access
Kang_ucsb_0035D_12937.pdf pdf (Portable Document Format)