Early EEG responses to pre-electoral survey items reflect political attitudes and predict voting behavior

Abstract Self-reports are conventionally used to measure political preferences, yet individuals may be unable or unwilling to report their political attitudes. Here, in 69 participants we compared implicit and explicit methods of political attitude assessment and focused our investigation on populis...

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Autores principales:	Giulia Galli, Davide Angelucci, Stefan Bode, Chiara De Giorgi, Lorenzo De Sio, Aldo Paparo, Giorgio Di Lorenzo, Viviana Betti
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f4b3e38970dd470386a99cbe1aa426ed
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spelling	oai:doaj.org-article:f4b3e38970dd470386a99cbe1aa426ed2021-12-02T18:13:53ZEarly EEG responses to pre-electoral survey items reflect political attitudes and predict voting behavior10.1038/s41598-021-96193-y2045-2322https://doaj.org/article/f4b3e38970dd470386a99cbe1aa426ed2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96193-yhttps://doaj.org/toc/2045-2322Abstract Self-reports are conventionally used to measure political preferences, yet individuals may be unable or unwilling to report their political attitudes. Here, in 69 participants we compared implicit and explicit methods of political attitude assessment and focused our investigation on populist attitudes. Ahead of the 2019 European Parliament election, we recorded electroencephalography (EEG) from future voters while they completed a survey that measured levels of agreement on different political issues. An Implicit Association Test (IAT) was administered at the end of the recording session. Neural signals differed as a function of future vote for a populist or mainstream party and of whether survey items expressed populist or non-populist views. The combination of EEG responses and self-reported preferences predicted electoral choice better than traditional socio-demographic and ideological variables, while IAT scores were not a significant predictor. These findings suggest that measurements of brain activity can refine the assessment of socio-political attitudes, even when those attitudes are not based on traditional ideological divides.Giulia GalliDavide AngelucciStefan BodeChiara De GiorgiLorenzo De SioAldo PaparoGiorgio Di LorenzoViviana BettiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Giulia Galli Davide Angelucci Stefan Bode Chiara De Giorgi Lorenzo De Sio Aldo Paparo Giorgio Di Lorenzo Viviana Betti Early EEG responses to pre-electoral survey items reflect political attitudes and predict voting behavior
description	Abstract Self-reports are conventionally used to measure political preferences, yet individuals may be unable or unwilling to report their political attitudes. Here, in 69 participants we compared implicit and explicit methods of political attitude assessment and focused our investigation on populist attitudes. Ahead of the 2019 European Parliament election, we recorded electroencephalography (EEG) from future voters while they completed a survey that measured levels of agreement on different political issues. An Implicit Association Test (IAT) was administered at the end of the recording session. Neural signals differed as a function of future vote for a populist or mainstream party and of whether survey items expressed populist or non-populist views. The combination of EEG responses and self-reported preferences predicted electoral choice better than traditional socio-demographic and ideological variables, while IAT scores were not a significant predictor. These findings suggest that measurements of brain activity can refine the assessment of socio-political attitudes, even when those attitudes are not based on traditional ideological divides.
format	article
author	Giulia Galli Davide Angelucci Stefan Bode Chiara De Giorgi Lorenzo De Sio Aldo Paparo Giorgio Di Lorenzo Viviana Betti
author_facet	Giulia Galli Davide Angelucci Stefan Bode Chiara De Giorgi Lorenzo De Sio Aldo Paparo Giorgio Di Lorenzo Viviana Betti
author_sort	Giulia Galli
title	Early EEG responses to pre-electoral survey items reflect political attitudes and predict voting behavior
title_short	Early EEG responses to pre-electoral survey items reflect political attitudes and predict voting behavior
title_full	Early EEG responses to pre-electoral survey items reflect political attitudes and predict voting behavior
title_fullStr	Early EEG responses to pre-electoral survey items reflect political attitudes and predict voting behavior
title_full_unstemmed	Early EEG responses to pre-electoral survey items reflect political attitudes and predict voting behavior
title_sort	early eeg responses to pre-electoral survey items reflect political attitudes and predict voting behavior
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f4b3e38970dd470386a99cbe1aa426ed
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Early EEG responses to pre-electoral survey items reflect political attitudes and predict voting behavior

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