Tracing Medicinal Agencies

Antidepressants and life-effects

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

Kuvaus

This article is inspired by the social life of methods approach, joining a movement among social scientists engaging with ‘big data’ to contribute to methodological innovation and conceptual development in research and knowledge translation. It explores human-drug associations using a computational tool, Medicine Radar, meanwhile raising questions about the ways a digital device pushes us to rethink how drugs are known in the everyday. Medicine Radar is an apparatus for exploring human-drug associations by means of Suomi24 (Finland24) data, containing 19 million health-related online posts spanning a period of 16 years. Using defined markers, Medicine Radar sorts the medicine talk in health-related discussions, thereby assisting us to ‘see’ the actions of the drug and human responses to them. This kind of approach distances the drug from the illness experience, drawing attention to the private details of the human-drug relationship. The empirical analysis separates three areas of antidepressant use: articulations of reactions, stabilizing the life effects of drugs and coming to terms with antidepressants. Together, the online posts urge us to think of everyday experience where the effects of drugs – intended or unintended – are always lived. The side effects of antidepressants, including drowsiness, ravenous hunger, loss of sexual desire and emotional numbness, become life effects. As will be demonstrated, the move from conceptualizing such fallout as side effects to understanding them as life effects has political ramifications. The computation tool adds collective weight to antidepressant experiences and calls for politicizing their effects on life.
Alkuperäiskielienglanti
Artikkeli112368
LehtiSocial Science & Medicine
Vuosikerta235
Sivumäärä9
ISSN0277-9536
DOI - pysyväislinkit
TilaJulkaistu - elokuuta 2019
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

Tieteenalat

  • 5141 Sosiologia
  • 518 Media- ja viestintätieteet
  • 3141 Terveystiede

Lainaa tätä

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title = "Tracing Medicinal Agencies: Antidepressants and life-effects",
abstract = "This article is inspired by the social life of methods approach, joining a movement among social scientists engaging with ‘big data’ to contribute to methodological innovation and conceptual development in research and knowledge translation. It explores human-drug associations using a computational tool, Medicine Radar, meanwhile raising questions about the ways a digital device pushes us to rethink how drugs are known in the everyday. Medicine Radar is an apparatus for exploring human-drug associations by means of Suomi24 (Finland24) data, containing 19 million health-related online posts spanning a period of 16 years. Using defined markers, Medicine Radar sorts the medicine talk in health-related discussions, thereby assisting us to ‘see’ the actions of the drug and human responses to them. This kind of approach distances the drug from the illness experience, drawing attention to the private details of the human-drug relationship. The empirical analysis separates three areas of antidepressant use: articulations of reactions, stabilizing the life effects of drugs and coming to terms with antidepressants. Together, the online posts urge us to think of everyday experience where the effects of drugs – intended or unintended – are always lived. The side effects of antidepressants, including drowsiness, ravenous hunger, loss of sexual desire and emotional numbness, become life effects. As will be demonstrated, the move from conceptualizing such fallout as side effects to understanding them as life effects has political ramifications. The computation tool adds collective weight to antidepressant experiences and calls for politicizing their effects on life.",
keywords = "5141 Sociology, Health sociology, Medical sociology, 518 Media and communications, Digital methods, Finland, Big data, Digital methods, Medicine talk, Emergent causality, Medicinal agency, Antidepressant, Side effects, BIG-DATA, DEPRESSION, HEALTH, ETHNOGRAPHY, 3141 Health care science",
author = "Minna Ruckenstein",
year = "2019",
month = "8",
doi = "10.1016/j.socscimed.2019.112368",
language = "English",
volume = "235",
journal = "Social Science & Medicine",
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publisher = "Elsevier Scientific Publ. Co",

}

Tracing Medicinal Agencies : Antidepressants and life-effects. / Ruckenstein, Minna.

julkaisussa: Social Science & Medicine, Vuosikerta 235, 112368, 08.2019.

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

TY - JOUR

T1 - Tracing Medicinal Agencies

T2 - Antidepressants and life-effects

AU - Ruckenstein, Minna

PY - 2019/8

Y1 - 2019/8

N2 - This article is inspired by the social life of methods approach, joining a movement among social scientists engaging with ‘big data’ to contribute to methodological innovation and conceptual development in research and knowledge translation. It explores human-drug associations using a computational tool, Medicine Radar, meanwhile raising questions about the ways a digital device pushes us to rethink how drugs are known in the everyday. Medicine Radar is an apparatus for exploring human-drug associations by means of Suomi24 (Finland24) data, containing 19 million health-related online posts spanning a period of 16 years. Using defined markers, Medicine Radar sorts the medicine talk in health-related discussions, thereby assisting us to ‘see’ the actions of the drug and human responses to them. This kind of approach distances the drug from the illness experience, drawing attention to the private details of the human-drug relationship. The empirical analysis separates three areas of antidepressant use: articulations of reactions, stabilizing the life effects of drugs and coming to terms with antidepressants. Together, the online posts urge us to think of everyday experience where the effects of drugs – intended or unintended – are always lived. The side effects of antidepressants, including drowsiness, ravenous hunger, loss of sexual desire and emotional numbness, become life effects. As will be demonstrated, the move from conceptualizing such fallout as side effects to understanding them as life effects has political ramifications. The computation tool adds collective weight to antidepressant experiences and calls for politicizing their effects on life.

AB - This article is inspired by the social life of methods approach, joining a movement among social scientists engaging with ‘big data’ to contribute to methodological innovation and conceptual development in research and knowledge translation. It explores human-drug associations using a computational tool, Medicine Radar, meanwhile raising questions about the ways a digital device pushes us to rethink how drugs are known in the everyday. Medicine Radar is an apparatus for exploring human-drug associations by means of Suomi24 (Finland24) data, containing 19 million health-related online posts spanning a period of 16 years. Using defined markers, Medicine Radar sorts the medicine talk in health-related discussions, thereby assisting us to ‘see’ the actions of the drug and human responses to them. This kind of approach distances the drug from the illness experience, drawing attention to the private details of the human-drug relationship. The empirical analysis separates three areas of antidepressant use: articulations of reactions, stabilizing the life effects of drugs and coming to terms with antidepressants. Together, the online posts urge us to think of everyday experience where the effects of drugs – intended or unintended – are always lived. The side effects of antidepressants, including drowsiness, ravenous hunger, loss of sexual desire and emotional numbness, become life effects. As will be demonstrated, the move from conceptualizing such fallout as side effects to understanding them as life effects has political ramifications. The computation tool adds collective weight to antidepressant experiences and calls for politicizing their effects on life.

KW - 5141 Sociology

KW - Health sociology

KW - Medical sociology

KW - 518 Media and communications

KW - Digital methods

KW - Finland

KW - Big data

KW - Digital methods

KW - Medicine talk

KW - Emergent causality

KW - Medicinal agency

KW - Antidepressant

KW - Side effects

KW - BIG-DATA

KW - DEPRESSION

KW - HEALTH

KW - ETHNOGRAPHY

KW - 3141 Health care science

U2 - 10.1016/j.socscimed.2019.112368

DO - 10.1016/j.socscimed.2019.112368

M3 - Article

VL - 235

JO - Social Science & Medicine

JF - Social Science & Medicine

SN - 0277-9536

M1 - 112368

ER -