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A survey of inclusive information access

A survey of inclusive information access
A survey of inclusive information access
Inclusive Information Access (IIA) is an essential field within information science and technology aimed at providing equitable information access for individuals from diverse backgrounds. Despite its significance, research on IIA remains dispersed across various domains, making it difficult to gain a comprehensive understanding of the field. This survey systematically examines the existing literature to map key themes, identify research trends, and highlight influential contributions within IIA. Using Latent Dirichlet Allocation (LDA) as a topic modeling method, this survey provides insights into the evolution of major topics, including publication trends, institutional engagement, and geographical reach. By analyzing authorship networks and citation patterns, this survey identifies key contributors, highly cited works, and influential research institutions, providing a structured overview of scholarly impact within IIA. This survey aims to support researchers in navigating the complex landscape of IIA and identifying avenues for future research.
2155-6377
167-196
Zheng, Yue
8f73b24b-9bbb-408d-a37b-b16a76fbd3d4
Liu, Haiming
3ed791e3-9f1e-417e-a531-7faf19cca547
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Zheng, Yue
8f73b24b-9bbb-408d-a37b-b16a76fbd3d4
Liu, Haiming
3ed791e3-9f1e-417e-a531-7faf19cca547
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5

Zheng, Yue, Liu, Haiming and Wald, Mike (2025) A survey of inclusive information access. International Journal of Information Retrieval Research (IJIRR), 1 (2), 167-196. (doi:10.54195/irrj.21092).

Record type: Review

Abstract

Inclusive Information Access (IIA) is an essential field within information science and technology aimed at providing equitable information access for individuals from diverse backgrounds. Despite its significance, research on IIA remains dispersed across various domains, making it difficult to gain a comprehensive understanding of the field. This survey systematically examines the existing literature to map key themes, identify research trends, and highlight influential contributions within IIA. Using Latent Dirichlet Allocation (LDA) as a topic modeling method, this survey provides insights into the evolution of major topics, including publication trends, institutional engagement, and geographical reach. By analyzing authorship networks and citation patterns, this survey identifies key contributors, highly cited works, and influential research institutions, providing a structured overview of scholarly impact within IIA. This survey aims to support researchers in navigating the complex landscape of IIA and identifying avenues for future research.

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Published date: 30 June 2025

Identifiers

Local EPrints ID: 507218
URI: http://eprints.soton.ac.uk/id/eprint/507218
ISSN: 2155-6377
PURE UUID: caba93c5-799c-40c9-afc7-061bcd118343
ORCID for Haiming Liu: ORCID iD orcid.org/0000-0002-0390-3657

Catalogue record

Date deposited: 01 Dec 2025 17:53
Last modified: 02 Dec 2025 03:04

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Contributors

Author: Yue Zheng
Author: Haiming Liu ORCID iD
Author: Mike Wald

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