Results 191 to 200 of about 136,332 (261)

Cross‐disciplinary integration: Information practices and a role for information scholars. An annual review of information science and technology paper

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley   +1 more source

Affective dimensions in the information behavior of forcibly displaced people: A literature review. An Annual Review of Information Science and Technology (ARIST) paper

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley   +1 more source

The hare and the tortoise: Open access publications' immediate impact and lasting advantage

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Open Access has changed how research is published and discovered. Studies generally report that OA articles are cited and mentioned more often than non‐OA, describing an open access advantage (OAA). The mechanisms causing the OAA are under‐investigated: this research analyzes citation and altmetrics post‐publication, reporting on the ...
Michael Taylor
wiley   +1 more source

Incremental refinement of relevance rankings: Balancing relevance depth and scope

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley   +1 more source

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