Eating disorders in the social web an ego-network analysis approach
Tubaro, Paola; Casilli, Antonio; Fraïssé, Christèle; Masson, Estelle; Mounier, Lise; Rouchier, Juliette (2011), Eating disorders in the social web an ego-network analysis approach, Sunbelt XXXI International Sunbelt Social Network, 2011-02, St Pete Beach, Florida, United States
TypeCommunication / Conférence
External document linkhttps://hal.univ-rennes2.fr/hal-01881222
Conference titleSunbelt XXXI International Sunbelt Social Network
Conference citySt Pete Beach, Florida
Conference countryUnited States
MetadataShow full item record
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)The recent upsurge of online websites, blogs and forums advocating anorexia nervosa and bulimia nervosa (“pro-ana” and “pro-mia”) challenges health practitioners and policy makers. While glorifying eating disorders as a lifestyle and even a choice, the authors of these websites often provide fellow sufferers with distinctive forms of emotional and practical support, and may thus have appeal to many.The proposed paper presentation is part of a larger project addressing the role of online and offline social networks in the spread and maintenance of eating disorders, through a sociological comparative study of ana-mia subjects in France and the United Kingdom. Emphasis is on the impact on health and nutrition of computer-mediated communication networks relative to face-to-face social interactions.The paper focuses on the fieldwork methodology, dataset construction and preliminary results. An online survey, due to be in the field shortly, invites users of ana-mia websites to provide information on their online and offline personal networks as well as their health-related advice network, together with control questions on their eating behaviours, health status and IT usage. Network information is elicited through a computer-based participant-aided sociogram drawing tool, through which respondents represent the entire set of their relationships to others as they see it, and obtain an optimised visualisation at the end. The well-acknowledged appeal of network visualisations is used here to improve survey experience and –indirectly- to enhance data quality. The survey is then followed by in-depth interviews, to be held via computer-assisted videoconference tools, to better understand the reasons underlying relational and health behaviours.
Subjects / KeywordsEating Disorders; personal networks; online social networks; network data collection; health data; health behaviours; eating behaviours
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