Results 201 to 210 of about 4,066,227 (301)

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Far, Moderate or in Between? The Ties That Shape Canadian Right-Wing Youth Activism. [PDF]

Can Rev Sociol
Preston K.
europepmc   +1 more source

Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto, Amina A. Abdu, Natascha Chtena   +2 more
wiley   +1 more source

Disentangling the Three Facets of Mass Ideological Polarization: A Network Approach Across 78 Societies. [PDF]

Public Opin Q
Guo Y, Peng Y, Yang T.
europepmc   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Influencing factors and configuration pathways of fundraising effectiveness in charitable foundations: An FSQCA analysis of 54 cases in China. [PDF]

PLoS One
Zhu Z, Huang S, Xu W, Zou H.
europepmc   +1 more source

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

Journal 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

Shedding light on dark social: systems-theoretical perspectives on membership-gated digital communication places. [PDF]

Front Sociol
Wiesinger J, Kusche I.
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

Journal 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

Critical questions for documenting collections as data: Provocations from developing datasheets for web archives datasets

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Scholarship on documentation of datasets is increasingly concerned with capturing the context, socio‐technical processes, and decisions shaping data. “Datasheets for datasets” is a recent approach developed by researchers in machine learning that foregrounds transparency and uncovering bias through data documentation.
Emily Maemura, Helena Byrne
wiley   +1 more source