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Are You What You Read? Predicting Implicit Attitudes to Immigration Based on Linguistic Distributional Cues From Newspaper Readership: A Pre-registered Study

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Are You What You Read? Predicting Implicit Attitudes to Immigration Based on Linguistic Distributional Cues From Newspaper Readership: A Pre-registered Study. / Lynott, Dermot; Walsh, Michael; McEnery, Tony et al.
In: Frontiers in Psychology, Vol. 10, 842, 03.05.2019.

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@article{2b5580e05bd1480e87e7b479b9f20b2e,
title = "Are You What You Read? Predicting Implicit Attitudes to Immigration Based on Linguistic Distributional Cues From Newspaper Readership: A Pre-registered Study",
abstract = "The implicit association test (IAT) measures bias towards often controversial topics (e.g., race, religion), while newspapers typically take strong positive/negative stances on such issues. In a pre-registered study, we developed and administered an immigration IAT to readers of the Daily Mail (a typically anti-immigration publication) and the Guardian (a typically pro-immigration publication) newspapers. IAT materials were constructed based on co-occurrence frequencies from each newspapers' website for immigration-related terms (migrant/immigrant) and positive/negative attributes (skilled/unskilled). Target stimuli showed stronger negative associations with immigration concepts in the Daily Mail compared to the Guardian, and stronger positive associations in the Guardian corpus compared to the Daily Mail corpus. Consistent with these linguistic distributional differences, Daily Mail readers exhibited a larger IAT bias, revealing stronger negative associations to immigration concepts compared to Guardian readers. This difference in overall bias was not fully explained by other variables, and raises the possibility that exposure to biased language contributes to biased implicit attitudes.",
keywords = "IAT, language, implicit attitudes, bias, implicit association test, ASYLUM SEEKERS, REPRESENTATION, BIAS, ACQUISITION, STEREOTYPE, PREJUDICE, REFUGEES",
author = "Dermot Lynott and Michael Walsh and Tony McEnery and Louise Connell and Liam Cross and O'Brien, {Kerry S.}",
year = "2019",
month = may,
day = "3",
doi = "10.3389/fpsyg.2019.00842",
language = "English",
volume = "10",
journal = "Frontiers in Psychology",
issn = "1664-1078",
publisher = "Frontiers Media S.A.",

}

RIS

TY - JOUR

T1 - Are You What You Read? Predicting Implicit Attitudes to Immigration Based on Linguistic Distributional Cues From Newspaper Readership

T2 - A Pre-registered Study

AU - Lynott, Dermot

AU - Walsh, Michael

AU - McEnery, Tony

AU - Connell, Louise

AU - Cross, Liam

AU - O'Brien, Kerry S.

PY - 2019/5/3

Y1 - 2019/5/3

N2 - The implicit association test (IAT) measures bias towards often controversial topics (e.g., race, religion), while newspapers typically take strong positive/negative stances on such issues. In a pre-registered study, we developed and administered an immigration IAT to readers of the Daily Mail (a typically anti-immigration publication) and the Guardian (a typically pro-immigration publication) newspapers. IAT materials were constructed based on co-occurrence frequencies from each newspapers' website for immigration-related terms (migrant/immigrant) and positive/negative attributes (skilled/unskilled). Target stimuli showed stronger negative associations with immigration concepts in the Daily Mail compared to the Guardian, and stronger positive associations in the Guardian corpus compared to the Daily Mail corpus. Consistent with these linguistic distributional differences, Daily Mail readers exhibited a larger IAT bias, revealing stronger negative associations to immigration concepts compared to Guardian readers. This difference in overall bias was not fully explained by other variables, and raises the possibility that exposure to biased language contributes to biased implicit attitudes.

AB - The implicit association test (IAT) measures bias towards often controversial topics (e.g., race, religion), while newspapers typically take strong positive/negative stances on such issues. In a pre-registered study, we developed and administered an immigration IAT to readers of the Daily Mail (a typically anti-immigration publication) and the Guardian (a typically pro-immigration publication) newspapers. IAT materials were constructed based on co-occurrence frequencies from each newspapers' website for immigration-related terms (migrant/immigrant) and positive/negative attributes (skilled/unskilled). Target stimuli showed stronger negative associations with immigration concepts in the Daily Mail compared to the Guardian, and stronger positive associations in the Guardian corpus compared to the Daily Mail corpus. Consistent with these linguistic distributional differences, Daily Mail readers exhibited a larger IAT bias, revealing stronger negative associations to immigration concepts compared to Guardian readers. This difference in overall bias was not fully explained by other variables, and raises the possibility that exposure to biased language contributes to biased implicit attitudes.

KW - IAT

KW - language

KW - implicit attitudes

KW - bias

KW - implicit association test

KW - ASYLUM SEEKERS

KW - REPRESENTATION

KW - BIAS

KW - ACQUISITION

KW - STEREOTYPE

KW - PREJUDICE

KW - REFUGEES

U2 - 10.3389/fpsyg.2019.00842

DO - 10.3389/fpsyg.2019.00842

M3 - Journal article

VL - 10

JO - Frontiers in Psychology

JF - Frontiers in Psychology

SN - 1664-1078

M1 - 842

ER -