Results 171 to 180 of about 35,806 (298)

Understanding digital health literacy as a structural determinant of health and public health capability. [PDF]

open access: yesBMC Glob Public Health
Wamala-Andersson S   +6 more
europepmc   +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

AI and algorithmic literacy among health workers: a scoping review through a digital health literacy lens. [PDF]

open access: yesFront Public Health
Iyamu I   +9 more
europepmc   +1 more source

Conceptualizing algorithmic inequality and future agenda. An annual review of information science and technology (ARIST) paper

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract The issue of inequality caused by algorithms, termed ‘algorithmic inequality’, has recently attracted scholarly attention in many disciplines due to its profound implications for society. While the body of literature on algorithmic inequality has grown, there remains a lack of comprehensive understanding of its nature, drivers, and impact ...
Shiwei Jia, Jia Tina Du, Hui Yan
wiley   +1 more source

The ultimate forgery: A semiotic deconstruction of large language models as engines of simulated selfhood

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Information science rests on a compact: its mediating signs maintain a traceable relation to what they describe. Large language models (LLMs) break it architecturally, generating discourse that is statistically plausible yet epistemically ungrounded, while standard metrics (precision, recall, relevance) cannot detect the rupture.
Martin Thellefsen, Alon Friedman
wiley   +1 more source

Did AI win after all?

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Algorithmic platforms are reshaping how people work and how human activity is rendered intelligible within data‐intensive systems. This paper argues that Heidegger's philosophy of technology, specifically Ge‐stell (enframing) and Poiesis (bringing‐forth), offers information science a conceptual vocabulary for understanding both algorithmic ...
Fred Fonseca
wiley   +1 more source

Nonadherence and uncontrolled arterial hypertension in Croatia—Insights from the May Measurement Month 2023 campaign and Hunting the silent killer programme

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims To determine the prevalence of non‐adherence to antihypertensive medicines and to identify demographic and behavioral factors associated with non‐adherence in subjects enrolled in the May Measurement Month (MMM) 2023, as part of the permanent public health action Hunting the silent killer.
Valerija Bralić Lang   +12 more
wiley   +1 more source

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