About: Using Online Implicit Association Tests in Opinion Polling

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Using Online Implicit Association Tests in Opinion Polling
Creator	Hanley, David Lee, Hyowon Morris, Niamh Smeaton, Alan
source	ArXiv
abstract	Opinion polls have now become a very important component of society because they are now a defacto component of our daily news cycle and because their results influence governments and business in ways which are not always obvious to us. However, polling is not always accurate and there have been some really inaccurate polling results which have had major influences on the world going back to the 1930s but also as recently as just the last 3 or 4 years. In this paper we analyse the phenomenon of socially desirable responding (shy voters) which has emerged as one of the reasons for modern day inaccurate polling. We describe how it can be exposed through implicit association tests (IATs) and we demonstrate the shy voter effect in a small survey on opinions in Ireland towards the United Kingdom. We argue for inclusion of IATs in traditional polling and point to the fact that these can be conducted accurately online, which also allows polling to reach a larger and more diverse sample of respondents in the days of Covid-19 restrictions which restricts the opportunities for poll sampling from the general public.
has issue date	2020-07-08(xsd:dateTime)
has license	arxiv
sha1sum (hex)	e8800fa2d2d276a3782ae76c0c84daf57ba16a2c
resource representing a document's title	Using Online Implicit Association Tests in Opinion Polling
resource representing a document's body	covid:e8800fa2d2d276a3782ae76c0c84daf57ba16a2c#body_text
is schema:about of	named entity 'obvious' named entity 'Jul' named entity 'polling' named entity 'HOW' named entity 'ALLOWS' »more»

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