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Increasing negativity of age stereotypes across 200 years: evidence from a database of 400 million words

Ng, Reuben ; Allore, Heather G ; Trentalange, Mark ; Monin, Joan K ; Levy, Becca R Bayer, Antony

PloS one, 2015-02, Vol.10 (2), p.e0117086-e0117086 [Periódico revisado por pares]

United States: Public Library of Science

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  • Título:
    Increasing negativity of age stereotypes across 200 years: evidence from a database of 400 million words
  • Autor: Ng, Reuben ; Allore, Heather G ; Trentalange, Mark ; Monin, Joan K ; Levy, Becca R
  • Bayer, Antony
  • Assuntos: Age ; Age Factors ; Aging ; Computational linguistics ; Computer applications ; Data bases ; Elderly ; Elderly people ; Geriatrics ; Humans ; Language processing ; Linguistics ; Models, Theoretical ; Natural language interfaces ; Natural language processing ; Novels ; Older people ; Public health ; Social aspects ; Stereotype (Psychology) ; Stereotypes ; Stereotypes (Psychology) ; Studies ; Thesauri
  • É parte de: PloS one, 2015-02, Vol.10 (2), p.e0117086-e0117086
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
    Conceived and designed the experiments: RN BL. Performed the experiments: RN. Analyzed the data: RN MT HA. Wrote the paper: BL RN JM HA.
    Competing Interests: The authors have declared that no competing interests exist.
  • Descrição: Scholars argue about whether age stereotypes (beliefs about old people) are becoming more negative or positive over time. No previous study has systematically tested the trend of age stereotypes over more than 20 years, due to lack of suitable data. Our aim was to fill this gap by investigating whether age stereotypes have changed over the last two centuries and, if so, what may be associated with this change. We hypothesized that age stereotypes have increased in negativity due, in part, to the increasing medicalization of aging. This study applied computational linguistics to the recently compiled Corpus of Historical American English (COHA), a database of 400 million words that includes a range of printed sources from 1810 to 2009. After generating a comprehensive list of synonyms for the term elderly for these years from two historical thesauri, we identified 100 collocates (words that co-occurred most frequently with these synonyms) for each of the 20 decades. Inclusion criteria for the collocates were: (1) appeared within four words of the elderly synonym, (2) referred to an old person, and (3) had a stronger association with the elderly synonym than other words appearing in the database for that decade. This yielded 13,100 collocates that were rated for negativity and medicalization. We found that age stereotypes have become more negative in a linear way over 200 years. In 1880, age stereotypes switched from being positive to being negative. In addition, support was found for two potential explanations. Medicalization of aging and the growing proportion of the population over the age of 65 were both significantly associated with the increase in negative age stereotypes. The upward trajectory of age-stereotype negativity makes a case for remedial action on a societal level.
  • Editor: United States: Public Library of Science
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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