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SSHOC Speech-to-text Workshop - Linking Social Survey and Linguistic Infrastructures through speech interviews

Authors: Koops, Judith; Mulder, Joris; Van Den Heuvel, Henk; Borghesan, Giovanni;

SSHOC Speech-to-text Workshop - Linking Social Survey and Linguistic Infrastructures through speech interviews

Abstract

Survey Infrastructures systematically interview tens of thousands of individuals across Europe each year. Respondents are selected at random from all walks of life, and the hour-long interviews provide a range of data which has value for researchers and subsequently policy makers. While complex life histories or events may be coded into the structured taxonomies required for cutting-edge sociological research, a large proportion of the information conveyed in an interview is lost. A respondent's tone of voice, linguistic fluidity, and depth of vocabulary for example can provide insights about cognitive function, socio-economic status or verbal reasoning skills. Making use of this lost data requires the integration of social survey and linguistic infrastructures. Such integration underpins the EOSC vision. As such, the basis for the work within SSHOC on analysing voice recorded interviews seeks to provide both a proof of concept and a framework for future research that explores this approach.

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Keywords

EOSC, research, data, SSHOC, interview, survey, policy maker

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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