Data literacy has been suggested as an important competence that individuals need to
succeed in a data‐intensive society. However, there is no common understanding as to what …

As the field of K‐12 data science education continues to take form, humanistic approaches
to teaching and learning about data are needed. Data feminism is an approach that draws …

This article explores the phenomenon of spectacle in the lead up and immediate aftermath
of the 2016 US presidential election. Through the spread of misinformation, the …

This article examines the social utility of the concept,'data literacy'. Recent developments in
the processes of datafication challenge long-held assumptions about privacy and the role of …

Working with data is an increasingly powerful way of making knowledge claims about the
world. There is, however, a growing gap between those who can work effectively with data …

Fostering data visualization literacy (DVL) as part of childhood education could lead to a
more data literate society. However, most work in DVL for children relies on a more formal …

Machine learning systems are increasingly a part of everyday life, and often used to make
critical and possibly harmful decisions that affect stakeholders of the models. Those affected …

As a form of synthetic media built on the Internet's extensive visual datasets with evolving
machine learning techniques, deepfakes raise the specter of new types of informational …

Given the lack of data-literate talent in business organizations, there is a need to develop
more effective data literacy education at university level. With the aim of informing …

Method. A comprehensive thematic analysis of the critical data literacy discourse is
undertaken to construct a comprehensive definition of critical data literacy and conceptualize …