Datafied Childhoods

Datafied Childhoods examines the multiple ways in which datafication, algorithms, and artificial intelligence (AI) transform the contexts for children: at home, school, and in peer and parent-child relationships. The COVID-19 pandemic provides an important moment for reimagining how data are repurposed for the social good and best interests of children.

Datafied Childhoods examines the multiple ways in which datafication, algorithms, and artificial intelligence (AI) transform the contexts for children: at home, school, and in peer and parent-child relationships. The COVID-19 pandemic provides an important moment for reimagining how data are repurposed for the social good and best interests of children.

Autorentext

Giovanna Mascheroni (PhD, Università Cattolica) is Associate Professor of Sociology of Media in the Department of Communication at Università Cattolica. Andra Siibak (PhD, University of Tartu) is Professor of Media Studies at the Institute of Social Studies, University of Tartu.

Klappentext

Datafied Childhoods examines the multiple ways in which datafication, algorithms, and artificial intelligence (AI) transform the contexts for children: at home, school, and in peer and parent-child relationships. The COVID-19 pandemic provides an important moment for reimagining how data are repurposed for the social good and best interests of children.

Inhalt

List of Tables Acknowledgments Introduction The Datafication of Everything Datafication as a Practice of the Self Mediatized Parenting as Datafied Parenting Mediatized Homes as Datafied Homes The Mediatized Peer Network The Mediatized School and the Datafication of Education Datafied Childhoods, Datafied Futures? Index.