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Increasing negativity of age stereotypes across 200 years: evidence from a database of 400 million words
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 whet...
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Published in: | PloS one 2015-02, Vol.10 (2), p.e0117086-e0117086 |
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description | 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. |
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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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0117086</identifier><identifier>PMID: 25675438</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Age ; Age Factors ; Aging ; Computer applications ; Data bases ; Elderly ; Elderly people ; Geriatrics ; Humans ; Linguistics ; Models, Theoretical ; Natural language processing ; Novels ; Older people ; Public health ; Social aspects ; Stereotypes ; Stereotypes (Psychology) ; Studies ; Thesauri</subject><ispartof>PloS one, 2015-02, Vol.10 (2), p.e0117086-e0117086</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Ng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Ng et al 2015 Ng et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-6e16a18e422b2b1beebfa052e1164cb6cbaa5a24cc836235e3c3d06d126b78d03</citedby><cites>FETCH-LOGICAL-c692t-6e16a18e422b2b1beebfa052e1164cb6cbaa5a24cc836235e3c3d06d126b78d03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1654934409/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1654934409?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25675438$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bayer, Antony</contributor><creatorcontrib>Ng, Reuben</creatorcontrib><creatorcontrib>Allore, Heather G</creatorcontrib><creatorcontrib>Trentalange, Mark</creatorcontrib><creatorcontrib>Monin, Joan K</creatorcontrib><creatorcontrib>Levy, Becca R</creatorcontrib><title>Increasing negativity of age stereotypes across 200 years: evidence from a database of 400 million words</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.</description><subject>Age</subject><subject>Age Factors</subject><subject>Aging</subject><subject>Computer applications</subject><subject>Data bases</subject><subject>Elderly</subject><subject>Elderly people</subject><subject>Geriatrics</subject><subject>Humans</subject><subject>Linguistics</subject><subject>Models, Theoretical</subject><subject>Natural language processing</subject><subject>Novels</subject><subject>Older people</subject><subject>Public health</subject><subject>Social aspects</subject><subject>Stereotypes</subject><subject>Stereotypes 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Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ng, Reuben</au><au>Allore, Heather G</au><au>Trentalange, Mark</au><au>Monin, Joan K</au><au>Levy, Becca R</au><au>Bayer, Antony</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Increasing negativity of age stereotypes across 200 years: evidence from a database of 400 million words</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-02-12</date><risdate>2015</risdate><volume>10</volume><issue>2</issue><spage>e0117086</spage><epage>e0117086</epage><pages>e0117086-e0117086</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25675438</pmid><doi>10.1371/journal.pone.0117086</doi><oa>free_for_read</oa></addata></record> |
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subjects | Age Age Factors Aging Computer applications Data bases Elderly Elderly people Geriatrics Humans Linguistics Models, Theoretical Natural language processing Novels Older people Public health Social aspects Stereotypes Stereotypes (Psychology) Studies Thesauri |
title | Increasing negativity of age stereotypes across 200 years: evidence from a database of 400 million words |
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