Results 71 to 80 of about 77,912 (216)

Ethical challenges of emerging anatomical technologies in UK public engagement

open access: yesAnatomical Sciences Education, EarlyView.
Emergent technologies are increasingly used in anatomical education and public engagement. They expand access and reduce reliance on physical human tissue, but also introduce ethical challenges relating to consent, dignity, representation, transparency, and commercialization.
Lucy E. Hyde   +3 more
wiley   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh   +4 more
wiley   +1 more source

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

MODEL LITERASI MEDIA SOSIAL BAGI MAHASISWA

open access: yesJurnal Aspikom, 2019
The development of internet communication technology today is unstoppable, especially for students. Many negative impacts have arisen in the use of social media due to wrong use. This study aims to find a social media literacy model for unsoed Purwokerto
Muhammad Sulthan, S Bekti Istiyanto
doaj   +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

Developing a Perceived Social Media Literacy Scale: Evidence from Singapore

open access: yesInternational Journal of Communication, 2021
Through a series of 4 studies (focus group discussions involving social media users and 3 nationally representative online surveys) conducted in Singapore, we identify 4 types of competencies in which social media literacy can manifest: technical, social,
Edson C. Tandoc Jr.   +10 more
doaj  

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

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