Perspective-Based Search: A New Paradigm for Bursting the Information Bubble

Tracking #: 1707-2919

This paper is currently under review
Shayan A. Tabrizi
Azadeh Shakery

Responsible editor: 
Ruben Verborgh

Submission type: 
Full Paper
Nowadays, individuals heavily rely on search engines for seeking information. The presence of information bubbles can threaten the effectiveness of these systems in providing unbiased information and damage healthy civic discourse and open-minded deliberation. In this paper, we propose a novel paradigm for search which aims at mitigating the information bubble in search. The new paradigm, which we call perspective-based search (PBS), is based on the intuition that in a fair search the user should not be limited to the results corresponding to a specific perspective of the search topic. Briefly, in PBS, different perspectives of the search topic are identified and presented to the user and he/she can select a perspective to view the search results from that point-of-view. PBS emphasizes the role of the user in the mitigation and suggests putting control in the user's hands. PBS has also the benefit of enabling users to formulate their information needs easier in some circumstances and obtain a higher recall. We discuss the paradigm and explain some perspective types that can be used in it. We also describe the required components for implementing it. In this paper, we focus on the paradigm itself, why it is an appropriate solution, and how it differs from other solutions. We bring up new research questions around it and call for research on the paradigm and on providing solutions for implementing its required components. We do not aim at providing any specific implementation for it, although we provide some hints on implementing it. We also provide a comprehensive survey of the related concepts and methods and discuss their differences with PBS.
Full PDF Version: 
Under Review