Method: A 600-million-word dataset was created from the Corpus of Historical American English and the Corpus of Contemporary American English to form the largest structured historical corpus with over 150,000 texts from multiple genres. Computational linguistics and statistical techniques were applied to study the trend, content, and predictors of aging narratives.
Results: Aging narratives have become more negative, in a linear fashion (p = .003), over 210 years. There are distinct shifts: From uplifting narratives of heroism and kinship in the 1800s to darker tones of illness, death, and burden in the 1900s across newspapers, magazines, and nonfiction books. Fiction defied this trend by portraying older adults positively through romantic courtship and war heroism. Significant predictors of ageism over 210 years are the medicalization of aging, loss of status, warmth, competence, and social ostracism.
Discussion: Though it is unrealistic to reverse the course of ageism, its declining trajectory can be ameliorated. Our unprecedented study lay the groundwork for a societal-level campaign to tackle ageism. The need to act is more pressing given the Covid-19 pandemic where older adults are constantly portrayed as vulnerable. (Ng & Chow, 2021)
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- Ng, R. & Chow, T. Y. J. (2021). Aging Narratives Over 210 Years (1810-2019). The Journal of Gerontology, Series B: Pschological Scienes and Social Sciences, 76(9), 1799-1807.
- photograph by Sepp Werkmeister via
And now, Werkmeister! 😎
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