Due to their internet connectivity and intensive data collection about users and their environments, smart speakers extend the datafication of the domestic environment, while contributing to the normalisation of data relations as an integral part of family everyday life. Our study extends the analysis of the domestication of smart speakers into the domestic context, family relations, practices and imaginaries. In particular, we provide theoretical and empirical insights into the study of datafication as a diverse, situated and embodied experience. In order to analyse the emergent and situated relationships (through and with smart speakers), agencies and power structures mobilised in the domestication of smart speakers, we conceptualise families as communicative figurations comprising actors (family members), culture (including technological and surveillance imaginaries), communication practices, and a specific digital media ensemble. Drawing on mixed-method data, our findings show that communicative figurations involve a reconfiguration of power and agency relating both to traditional axes (status, class, gender and age) and new forms of power enabled by the progressive colonisation of the domestic environment by data colonialism. We propose and discuss a typification of households along a continuum of positions in family relationships with data between two opposite poles: data-resistants and data-normalisers. Households can negotiate, resist and oppose datafication practices and imaginaries by mobilising various strategies, discourses, meanings and practices. Ultimately, our theoretical approach and typification allow studying how data practices materialise – and are (partially) accepted, negotiated or rejected – as a specific communicative figuration in each family.
Zaffaroni, L., Mascheroni, G., Amadori, G. (2022). SMART SPEAKERS AND DATA RELATIONS IN FAMILIES WITH YOUNG CHILDREN. In AoIR2022 Research from the Annual Conference of the Association of Internet Researchers (pp.1-4) [10.5210/spir.v2022i0.13111].
SMART SPEAKERS AND DATA RELATIONS IN FAMILIES WITH YOUNG CHILDREN
Zaffaroni, Lorenzo Giuseppe
;
2022
Abstract
Due to their internet connectivity and intensive data collection about users and their environments, smart speakers extend the datafication of the domestic environment, while contributing to the normalisation of data relations as an integral part of family everyday life. Our study extends the analysis of the domestication of smart speakers into the domestic context, family relations, practices and imaginaries. In particular, we provide theoretical and empirical insights into the study of datafication as a diverse, situated and embodied experience. In order to analyse the emergent and situated relationships (through and with smart speakers), agencies and power structures mobilised in the domestication of smart speakers, we conceptualise families as communicative figurations comprising actors (family members), culture (including technological and surveillance imaginaries), communication practices, and a specific digital media ensemble. Drawing on mixed-method data, our findings show that communicative figurations involve a reconfiguration of power and agency relating both to traditional axes (status, class, gender and age) and new forms of power enabled by the progressive colonisation of the domestic environment by data colonialism. We propose and discuss a typification of households along a continuum of positions in family relationships with data between two opposite poles: data-resistants and data-normalisers. Households can negotiate, resist and oppose datafication practices and imaginaries by mobilising various strategies, discourses, meanings and practices. Ultimately, our theoretical approach and typification allow studying how data practices materialise – and are (partially) accepted, negotiated or rejected – as a specific communicative figuration in each family.| File | Dimensione | Formato | |
|---|---|---|---|
|
Zaffaroni-2022-Selected Papers Internet Res-VoR.pdf
accesso aperto
Tipologia di allegato:
Publisher’s Version (Version of Record, VoR)
Licenza:
Creative Commons
Dimensione
152.81 kB
Formato
Adobe PDF
|
152.81 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


