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  • Doctoral Theses / Doktorsavhandlingar Institutionen för svenska språket
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The Game of Health Search

Abstract
Almost two of three Swedes use internet to search for health related information on diseases, treatments and care givers. Mobile devices such as smartphones and tablets are increasingly used to carry out these activities, and it raises the question on how a health information portal should behave to support the needs of today’s and tomorrow’s information seekers. In this thesis we present an analysis of the use of the official health information portals 1177.se and vardguiden.se with a focus on describing the relations between seekers and portals, as expressed by the language of queries and answers. Of special interest is the role of the language as a means to establish and maintain the seekers’ trust in a portal as a complement to doctor’s visits and calls. We present a number of principles of behaviour to which we believe a portal should adhere to be trustworthy in the eyes of the seekers. We also introduce a conceptual framework with a basis in game-theoretic models of rational behaviour, and the use of lingustic error analysis and stylistics, to provide a setting for analysis of information search.
Degree
Doctor of Philosophy
University
Göteborgs universitet. Humanistiska fakulteten
University of Gothenburg. Faculty of Arts
Institution
Department of Swedish ; Institutionen f??r svenska spr??ket
Disputation
Fredagen den 21 november 2014, kl. 10.15, Lilla hörsalen, Humanisten
Date of defence
2014-11-21
URI
http://hdl.handle.net/2077/37041
Collections
  • Doctoral Theses / Doktorsavhandlingar Institutionen för svenska språket
  • Doctoral Theses from University of Gothenburg / Doktorsavhandlingar från Göteborgs universitet
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Thesis (2.784Mb)
Abstract (118.9Kb)
Date
2014-10-31
Author
Eklund, Ann-Marie
Keywords
health information search
internet usage
vardguiden.se
1177.se
trust
rationality
error analysis
stylistics
computational linguistics
language technology
natural language processing
Publication type
Doctoral thesis
ISBN
978-91-87850-55-4
Series/Report no.
Data linguistica
26
Language
eng
Metadata
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