Lasting effects of the COVID-19 pandemic on language processing.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 04 04 2022
accepted: 17 05 2022
entrez: 15 6 2022
pubmed: 16 6 2022
medline: 18 6 2022
Statut: epublish

Résumé

A central question in understanding human language is how people store, access, and comprehend words. The ongoing COVID-19 pandemic presented a natural experiment to investigate whether language comprehension can be changed in a lasting way by external experiences. We leveraged the sudden increase in the frequency of certain words (mask, isolation, lockdown) to investigate the effects of rapid contextual changes on word comprehension, measured over 10 months within the first year of the pandemic. Using the phonemic restoration paradigm, in which listeners are presented with ambiguous auditory input and report which word they hear, we conducted four online experiments with adult participants across the United States (combined N = 899). We find that the pandemic has reshaped language processing for the long term, changing how listeners process speech and what they expect from ambiguous input. These results show that abrupt changes in linguistic exposure can cause enduring changes to the language system.

Identifiants

pubmed: 35704594
doi: 10.1371/journal.pone.0269242
pii: PONE-D-22-09945
pmc: PMC9200165
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0269242

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Daniel Kleinman (D)

Haskins Laboratories, New Haven, CT, United States of America.

Adam M Morgan (AM)

NYU School of Medicine, New York, NY, United States of America.

Rachel Ostrand (R)

IBM Research, Yorktown Heights, NY, United States of America.

Eva Wittenberg (E)

Department of Cognitive Science, Central European University, Vienna, Austria.

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Classifications MeSH