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Record Nr. |
UNINA9910370048803321 |
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Autore |
Rafanell Irene |
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Titolo |
Emotions in digital interactions : ethnopsychologies of Angels' Mothers in online bereavement communities / / by Irene Rafanell, Maja Sawicka |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Palgrave Pivot, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (123 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Sociology |
Ethnology |
Mass media |
Communication |
Social psychology |
Sociological Theory |
Ethnography |
Media Sociology |
Psychosocial Studies |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: Introduction -- Chapter 2: What Counts as Social "Reality?" -- Chapter 3: Emotions as Products of the Social: Extrinsic Accounts -- Chapter 4: Emotions as Constitutive Methods: An Intrinsic Account of the Social -- Chapter 5: Emergence of Collectives as "Status Groups" -- Chapter 6: Methodology and Methods of Data Collection -- Chapter 7: Emotional Deviance and New Emotional Reality -- Chapter 8: Concluding Points: Theoretical Models, Social Reality and Every-day "Practice". |
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Sommario/riassunto |
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Combining the conceptual tools of interactionist and social constructionist positions, this book presents an in-depth investigation of emotions in digital interactions. Through the central case study of online bereavement communities for women who have suffered perinatal loss, this volume highlights the significance of affective |
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sanctioning as constitutive of group dynamics and practice. The authors chart the emergence of a new ethnopsychology of motherhood—the category of ‘Angels’ Mothers’—arising from the localized practices of a community whose experience of grief is otherwise disenfranchised. Through their detailed theoretical exploration of the centrality of micro-situational dynamics, alongside the rich empirical illustration of collectively shared feeling rules and norms, Rafanell and Sawicka develop a naturalistic approach to the analysis of empirical data, providing insights for policy-making interventions. . |
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