Results 51 to 60 of about 17,623,491 (284)

Staying with the trouble of networks

Frontiers in Big Data, 2023
Networks have risen to prominence as intellectual technologies and graphical representations, not only in science, but also in journalism, activism, policy, and online visual cultures. Inspired by approaches taking trouble as occasion to (re)consider and
Daniela van Geenen, Jonathan W. Y. Gray, Liliana Bounegru, Tommaso Venturini, Tommaso Venturini, Mathieu Jacomy, Axel Meunier, Axel Meunier   +7 more
doaj   +1 more source

A Critical Study on Data Leakage in Recommender System Offline Evaluation

ACM Transactions on Information Systems, 2023
Recommender models are hard to evaluate, particularly under offline setting. In this article, we provide a comprehensive and critical analysis of the data leakage issue in recommender system offline evaluation. Data leakage is caused by not observing global timeline in evaluating recommenders e.g., train/test data split does not follow ...
Yitong Ji, Aixin Sun, Jie Zhang 0002, Chenliang Li 0005   +3 more
openaire   +4 more sources

How news media frame data risks in their coverage of big data and AI

Internet Policy Review, 2023
Public discourses have become sensitive to the ethical challenges of big data and artificial intelligence, as scandals about privacy invasion, algorithmic discrimination, and manipulation in digital platforms repeatedly make news headlines.
Dennis Nguyen
doaj   +1 more source

The Big Data Agenda : Data Ethics and Critical Data Studies

, 2018
This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that
Annika Richterich
semanticscholar   +1 more source

Towards more-than-human digital data studies: developing research-creation methods

Qualitative Research, 2020
As the number of digital technologies expands, entering more domains of everyday life, people’s activities, bodies and preferences are rendered into constantly changing flows of digitised information.
Deborah Lupton, A. Watson
semanticscholar   +1 more source

Wastewater-based epidemiology for illicit drugs: A critical review on global data.

Water Research, 2021
Illicit drug use is complex, hidden and often highly stigmatized behaviour, which brings a vast challenge for drug surveillance systems. Drug consumption can be estimated by measuring human excretion products in untreated wastewater, known as wastewater ...
Marit Huizer, T. T. ter Laak, P. de Voogt, A. V. van Wezel   +3 more
semanticscholar   +1 more source

Digital Citizenship in a Datafied Society

The International Journal of Information, Diversity, & Inclusion, 2020
Book ...
Vanessa Reyes
doaj   +1 more source

From access and transparency to refusal: Three responses to algorithmic governance

Internet Policy Review, 2023
In this paper, we identify three responses evident in the dialogue regarding the emergence and development of data driven algorithmic governance. The first two responses, ones of access, inclusion and transparency, seek to remedy harms produced by the ...
Alexandra James, Danielle Hynes, Andrew Whelan, Tanja Dreher, Justine Humphry   +4 more
doaj   +1 more source

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker, Kyle Kemp, Perri Tutelman, Sharon H. J. Hou, Paul Fairie, Maria Santana, Gregory M. T. Guilcher, Taryn Fay‐McClymont, Glenda Bendiak, Wendy Pelletier, Nicola Wright, Fiona Schulte   +11 more
wiley   +1 more source

Investigating AI systems: examining data and algorithmic bias through hermeneutic reverse engineering

Frontiers in Communication
Considering Artificial Intelligence systems as boundary objects, which are interdisciplinary objects sustained differently by diverse fields while providing shared discourses between them, this essay summarizes the approaches of examining bias in AI ...
Nishanshi Shukla
doaj   +1 more source