To understand information accessibility issues, research has examined human and technical factors by taking a socio-technical view. While this view provides a profound understanding of how people seek, use, and access information, it often overlooks the larger structure of the information landscapes that shape people's information access. However, theorizing the information landscape of a local community at the community level is challenging because of the diverse contexts and users. One way to minimize the complexity is to focus on the materiality of information. By highlighting the material aspects of information, it becomes possible to understand the community-level structure of local information. This paper develops a theory of local information landscapes (LIL theory) to conceptualize the material structure of local information. LIL theory adapts a concept of the virtual as an ontological view of the local information that is embedded in technical infrastructures, spaces, and people. By complementing existing theories, this paper provides a new perspective on how information deserts manifest as a material pre-condition of information inequality. Based on these theoretical models, a research agenda is presented for future studies of local communities.
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San Jose State Univ, Gateway PhD Program, Sch Informat, San Jose, CA 95192 USA
Queensland Univ Technol QUT, Brisbane, Qld, AustraliaSan Jose State Univ, Gateway PhD Program, Sch Informat, San Jose, CA 95192 USA
Conrad, Lettie Y.
Bruce, Christine S.
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James Cook Univ, Grad Res, Townsville, Qld, AustraliaSan Jose State Univ, Gateway PhD Program, Sch Informat, San Jose, CA 95192 USA
Bruce, Christine S.
Tucker, Virginia M.
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San Jose State Univ, Sch Informat, San Jose, CA 95192 USASan Jose State Univ, Gateway PhD Program, Sch Informat, San Jose, CA 95192 USA
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Univ Elect Sci & Technol China, Web Sci Ctr, Chengdu 610054, Peoples R China
Univ Elect Sci & Technol China, Big Data Res Ctr, Chengdu 610054, Peoples R ChinaUniv Elect Sci & Technol China, Web Sci Ctr, Chengdu 610054, Peoples R China
Gao, Lei
Wang, Wei
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Univ Elect Sci & Technol China, Web Sci Ctr, Chengdu 610054, Peoples R China
Univ Elect Sci & Technol China, Big Data Res Ctr, Chengdu 610054, Peoples R ChinaUniv Elect Sci & Technol China, Web Sci Ctr, Chengdu 610054, Peoples R China
Wang, Wei
Pan, Liming
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Univ Elect Sci & Technol China, Web Sci Ctr, Chengdu 610054, Peoples R China
Univ Elect Sci & Technol China, Big Data Res Ctr, Chengdu 610054, Peoples R ChinaUniv Elect Sci & Technol China, Web Sci Ctr, Chengdu 610054, Peoples R China
Pan, Liming
Tang, Ming
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Univ Elect Sci & Technol China, Web Sci Ctr, Chengdu 610054, Peoples R China
Univ Elect Sci & Technol China, Big Data Res Ctr, Chengdu 610054, Peoples R ChinaUniv Elect Sci & Technol China, Web Sci Ctr, Chengdu 610054, Peoples R China
Tang, Ming
Zhang, Hai-Feng
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Anhui Univ, Sch Math Sci, Hefei 230601, Peoples R ChinaUniv Elect Sci & Technol China, Web Sci Ctr, Chengdu 610054, Peoples R China