Role-Based Framing of Older Adults Linked to Decreased Ageism Over 210 Years: Evidence From a 600-Million-Word Historical Corpus

What do we really know about age-related stereotypes and well-being of older adults? A commentary on the state of the art

There is a considerable body of literature on harmful consequences of age-related stereotypes-including consequences on physical and mental health. However, this commentary critically argues that the current state of the art disregards consequences of these stereotypes specifically for the well-being of older adults (i.e., outcome that is not to be confounded with mental health). To this end, the content of age-related stereotypes and the mechanisms through which they operate on physical and mental health are first outlined. The commentary then focuses on the very scarce evidence documenting how and when the well-being of older adults (as assessed directly and not as inferred from other indicators) is influenced by self-directed stereotypes. After setting out possible ways well-being may be involved in the relationship between self-directed stereotypes and physical and mental health of older adults, the present commentary argues that a better understanding of well-being would benefit strategies targeting the reduction of age-related stereotypes. Overall, this commentary on the state of the art highlights that future research is still needed to better understand both the direct and indirect relationships between age-related stereotypes and well-being that is not reducible to positive experiences of life (or hedonic well-being) but also comprises an eudaimonic component.

Advocating for Older Adults in the Age of Social Media: Strategies to Achieve Peak Engagement on Twitter

Background

Over the last decade, many organizations dedicated to serving the needs and interests of older adults have turned to social media platforms, such as Twitter, subsequently rebranded X, to improve the visibility of age-related issues. However, notwithstanding their growing digital presence and participation, minimal attention has been paid to the use of social media among these advocacy groups. To achieve policy change, advocacy organizations must first be able to engage and mobilize audiences.

Objective

Our study aims to elucidate how different tweet features affect the time it takes for posts uploaded by age advocacy organizations to reach peak engagement.

Methods

We collated 204,905 tweets from 53 age advocacy organizations posted over a 12-year period. The engagement score of each tweet was calculated by combining well-established metrics, namely likes, retweets, quote tweets, and replies. We ran Cox models with tweet features as predictors and time-to-peak engagement as the outcome. "Peak engagement" (event) refers to engagement scores above the 75th percentile, and "time" refers to months taken to reach peak engagement per tweet.

Results

Approximately 1 in 2 tweets (n=103,068, 50.3%) had either no hashtags or just 1 hashtag. Around two-thirds (n=131,220, 64%) of the tweets included a URL. Visual information was highly underused, with most tweets not including GIFs (n=204,202, 99.7%), videos (n=199,800, 97.5%), or photos (n=143,844, 70.2%). Roughly half (n=101,470, 49.5%) of the tweets contained mentions and 9.3% (n=19,009) of tweets were replies. Only 4.5% (n=9285) of tweets were quote tweets. Most tweets were uploaded in the afternoon (n=86,004, 42%) and on a weekday (n=180,499, 88.1%). As hypothesized, features associated with peak engagement were the inclusion of visual elements like photos, which increased peak engagement by 3 times (P<.001), and the use of 3 or more hashtags (P<.001). Quote tweets increased engagement by 3 times (P<.001), as compared to regular tweets, controlling for account-level covariates. Tweets from organizations with a higher tweet volume were 40% less likely to reach peak engagement (P<.001).

Conclusions

Social media as a networked platform has the potential to reach users on a global scale and at an exponential speed. Having uncovered the features that are more likely to reach peak engagement on Twitter, our study serves as an invaluable resource for age advocacy organizations in their movement to create a more age-inclusive world.

News media coverage of LGBT identities over 10 years in a 400-million-word corpus

BACKGROUND

This study is the first to analyze LGBT portrayals in a news media dataset over a decade (2010-2020). We selected Singapore as a country of interest, emblematic of a nation grappling with state-encouraged heteronormativity and a remnant colonial law against homosexuality (377A), fraught with calls for its repeal that was only enacted in 2022. Our study is interested in this period bookended by challenge and change, particularly in newspaper portrayals of LGBT narratives. Newspapers are an important source of current information and have the power to shape societal perceptions. We lay the groundwork and provide a framework to analyze news media narratives of other Commonwealth nations with colonial pasts and inherited laws criminalizing LGBT communities.

OBJECTIVES

This study analyzes LGBT portrayals in a 400-million-word news media dataset over a decade (2010-2020). First, we aimed to track the volume of LGBT media coverage over time and elucidate differences in coverage of different identity markers. Second, we aimed to track sentiments on LGBT portrayals. Third, we aimed to track salient narratives circulated about LGBT stories.

METHODS

The study leveraged a 400-million-word corpus from news media in Singapore, identifying the following target keywords: LGBT, Lesbian, Gay, Bisexual, Transgender, Pink Dot (a local Pride event), 377A. First, coverage volume was tracked using annual changes in keyword mentions per million, elucidating differences in coverage of different sub-groups. Second, sentiment analysis on a valence scale was conducted on LGBT collocates. Third, we distilled salient narratives about LGBT identities using thematic labelling of top-frequency collocates.

RESULTS

First, overall coverage of LGBT steadily increased over the decade, though Gay identities evidenced asymmetrical coverage-outstripping 'Bisexual' keywords by seven times, 'Lesbian' by four, 'Transgender' by two. Second, sentiment scores for Pink Dot (a local pride event) were most positive; Lesbian, Gay, LGBT, Transgender were neutral; Bisexual and 377A dipped slightly negative. Third, topics differed across the four identities: uniquely, 'Lesbian' collocates related to sensationalized cinema; 'Gay' about hate crimes; 'Bisexual' about population surveys; 'Transgender' about challenges (transitioning, alienation, suicide).

CONCLUSIONS

Practically, we presented a decade-long barometer of LGBT sentiments and themes on a national level, providing a framework to analyze media for more effective communication strategies-applicable to Commonwealth countries with similar inherited colonial laws. Salient repetition through media association may unwittingly frame certain issues negatively; caution is prudent in representing each sub-group adequately, rather than portraying the LGBT identity as monolithic.

Youth is Prized in Medicine, Old Age is Valued in Law: Analysis of Media Narratives Over 200 Years

BACKGROUND

This is the first study to explore how age has influenced depictions of doctors and lawyers in the media over the course of 210 years, from 1810 to 2019. The media represents a significant platform for examining age stereotypes and possesses tremendous power to shape public opinion. Insights could be used to improve depictions of older professionals in the media.

OBJECTIVE

This study aims to understand how age shapes the portrayals of doctors and lawyers. Specifically, it compares the difference in sentiments toward younger and older doctors as well as younger and older lawyers in the media over 210 years.

METHODS

Leveraging a 600-million-word corpus of American media publications spanning 210 years, we compiled top descriptors (N=478,452) of nouns related to youth × occupation (eg, younger doctor or physician) and old age × occupation (eg, older lawyer or attorney). These descriptors were selected using well-established criteria including co-occurrence frequency and context relevance, and were rated on a Likert scale from 1 (very negative) to 5 (very positive). Sentiment scores were generated for "doctor/physician," "young(er) doctor/physician," "old(er) doctor/physician," "lawyer/attorney," "young(er) lawyer/attorney," and "old(er) lawyer/attorney." The scores were calculated per decade for 21 decades from 1810 to 2019. Topic modeling was conducted on the descriptors of each occupation in both the 1800s and 1900s using latent Dirichlet allocation.

RESULTS

As hypothesized, the media placed a premium on youth in the medical profession, with portrayals of younger doctors becoming 10% more positive over 210 years, and those of older doctors becoming 1.4% more negative. Meanwhile, a premium was placed on old age in law. Positive portrayals of older lawyers increased by 22.6% over time, while those of younger lawyers experienced a 4.3% decrease. In the 1800s, narratives on younger doctors revolved around their participation in rural health care. In the 1900s, the focus shifted to their mastery of new medical technologies. There was no marked change in narratives surrounding older doctors from the 1800s to the 1900s, though less attention was paid to their skills in the 1900s. Narratives on younger lawyers in the 1800s referenced their limited experience. In the 1900s, there was more focus on courtroom affairs. In both the 1800s and 1900s, narratives on older lawyers emphasized their prestige, especially in the 1900s.

CONCLUSIONS

Depending on the occupation, one's age may either be seen as an asset or a liability. Efforts must be expended to ensure that older professionals are recognized for their wealth of knowledge and skills. Failing to capitalize on the merits of an older workforce could ultimately be a grave disservice not only to older adults but to society in general.

Innovations for an Aging Society through the Lens of Patent Data

BACKGROUND AND OBJECTIVES

An aging population creates fertile ground for devising innovations for older adults. By using patents as a proxy for inventive activity, this study sets the stage for understanding the latest innovations being designed for the older population. Insights will pave the way for a better understanding of inventions that could render society more age-friendly on the innovation front.

RESEARCH DESIGN AND METHODS

To identify the latest innovations targeted at the older population, we collected all patents (N = 326) issued in 2021, specifically those issued between January 5th and December 28th. Upon removing irrelevant data, 120 patents were retained in the data set. Both inductive and deductive modes of reasoning informed our content analysis of the data.

RESULTS

Three themes surfaced. About half (49.2%) of the patents focused on "Preventive Health, Safety, and Independence" (Theme 1). About 38.3% pertained to "Anti-Aging" (Theme 2) and 12.5% were about the "Pathologization of Old Age" (Theme 3).

DISCUSSION AND IMPLICATIONS

This is the first study that evaluates the state of innovations for an aging population. While there are inventions aimed at optimizing the well-being of older adults, there are also those designed due to beliefs that see old age as a problem to solve. As the world experiences a demographic shift, it is imperative that collective ingenuity be harnessed to build a society conducive to all facets of the aging experience.

Age Advocacy on Twitter Over 12 Years

BACKGROUND AND OBJECTIVES

Discussions on age-related issues have begun taking place in earnest, but exactly what dominates public consciousness about these issues is a topic that has yet to kindle scholarly attention. This study analyzes tweets uploaded by age advocacy organizations that have attracted the highest levels of engagement on Twitter.

RESEARCH DESIGN AND METHODS

We collected 403,426 tweets from 53 accounts. These tweets were posted over 12 years, from 2009 to 2021. After applying our exclusion criteria and collating the top 1% of tweets with the highest levels of engagement, 2,054 tweets were retained for analysis. Both inductive and deductive approaches informed our qualitative content analysis.

RESULTS

Five themes emerged. "Issues Related to Alzheimer's Disease or Dementia" (Theme 1) formed the majority of tweets (62%; N = 1,278). Theme 2 "Rising Health Care or Retirement Costs" was the second largest theme (25%; N = 506). Seven percent of the tweets were on "Reframing Aging and Combating Ageism" (Theme 3; N = 138). "Matters Affecting Caregivers" surfaced in Theme 4 (4%; N = 81). Two percent of the tweets were on "Intersectional Concerns" (Theme 5; N = 51).

DISCUSSION AND IMPLICATIONS

As age advocacy organizations step up to engage the public constructively in matters regarding later life, there is a compelling need to quell public anxiety about old age and to sensitize society to the struggles confronted by older adults. In undertaking the range of activities needed to do so, age advocacy organizations should consolidate efforts even as they rethink existing strategies to effectuate change.

Communicating Risk Perceptions Through Batik Art

This Arts and Medicine essay describes creation of a batik art installation titled Risktalk, illustrating trends in mentions of public health and non-health risk-related topics in popular written media from 1810 to 2009.

Portrayals of older adults in over 3000 films around the world

BACKGROUND

Presently, most film analyses related to older adults are peculiar to American cinema. However, film industries outside the United States are influential in their own right. As ageism is a pan-cultural phenomenon, it is important to explore filmic representations of older persons globally. This study is the first to offer a portrait of how filmic portrayals of older persons differ across regions.

METHODS

We leveraged a 200-million-word movie corpus comprising over 25,000 scripts from 88 countries in 11 regions. The movies span a period of nearly 90 years, from 1930 to 2018. We identified synonyms of "older adult(s)" and compiled the top descriptors that co-occurred most frequently with them. Seventeen thousand five hundred and eight descriptors were generated from 3384 movies. Using these descriptors, we calculated the valence of filmic portrayals of older adults on a scale of 1 (most negative) to 5 (most positive) in each region.

RESULTS

Positive representations of older adults in movies were lacking in all 11 regions. Four regions fell into the neutral zone and the remaining seven in the negative zone. Representations of older persons were the least negative in East Asia and South Asia, and most negative in Southeast Asia as well as the Middle East and North Africa (MENA). Our topic modeling revealed that older adults were portrayed as venerable in both South and East Asia. Meanwhile, older people were associated with death in MENA. The idea that society is ill-equipped to handle an aging population was hinted at in Southeast Asia.

CONCLUSIONS

As societies worldwide navigate a major demographic turning point, it is vital that filmmakers rethink portrayals of old age. In articulating the filmic narratives surrounding old age in different regions, our study lays the foundation to combat ageism on the big screen.

Videos about older adults on TikTok

Besides being one of the fastest growing platforms since entering the social media fray in 2016, TikTok is notably monopolized by teenagers, which makes it a veritable source of information not to be overlooked by gerontologists. Currently, most studies regarding age stereotypes on social media have examined content on Twitter and Facebook. Our study explores how older adults are portrayed on TikTok and the factors associated with these portrayals. We analyzed 673 videos with the hashtags #Boomer and/or #OkBoomer that received over 5.4 billion views and categorized them into nine topics. Five of these topics (e.g., 'Warmth/Coldness') were extracted from previous studies on age stereotypes. The remaining four topics were unique to our dataset (e.g., 'Wealth Gap'). The outcome variable was 'Negative Age Stereotypes' which was rated on a binary scale. One in two videos about older adults featured negative content. As hypothesized, videos containing negative age stereotypes were more likely to be about the 'Values and Beliefs of Older Adults' (7 times), 'Negative Encounters with Older Adults' (8 times) or 'Older Adults Antagonizing the Young' (13 times). Conversely, videos which portrayed older adults as 'Warm' were 43% less likely to contain negative stereotypes. As the phenomenon of an aging population fast unfolds, it is imperative that society relinquishes its tendency to stereotype individuals on the grounds of age. By examining the possible mechanisms driving negative stereotypes of older adults on TikTok, our study provides the basis upon which such stereotypes can be counteracted. In doing so, it paves the way both to improve the well-being of older persons and to foster intergenerational solidarity.

The cognitive tenacity of self-directed ageism

Ageism refers to prejudice or discrimination based on a person's age. When ageism is directed at older people, it is unique in two ways: it is socially condoned in a manner that other types of prejudice are not, and the animus is eventually self-directed. Of central interest here is why ageism becomes self-directed in late adulthood, despite its potentially harmful personal costs. We present a cognitive model in which negative ageist beliefs become increasingly accessible and difficult to eliminate owing to broader developmental shifts in mentation. Given that these effects are contingent on our social environment, systemic changes in societal conceptions of age and aging are needed if we are to reduce vulnerability to self-directed ageism.

Granfluencers on TikTok: Factors linked to positive self-portrayals of older adults on social media

Lately, there have been news reports on the rise of older content creators on various social media outlets. However, while journalists have picked up on this topic, scholars have been slow to accord it any attention. Our study delves into this topic and looks at how older TikTokers' self-perceptions of aging are expressed in their videos. Specifically, we analyze the valence of the content of these videos and factors associated with older adults' self-presentations. TikTok has only gone from strength to strength since its global launch in 2017. Even as stay-at-home orders and safe distancing protocols amid the COVID-19 pandemic have led to a dramatic increase in the consumption of media across various platforms, TikTok stands out among its rivals in terms of growth and user activity. Given its wide reach, content on TikTok has the potential to influence public opinion. We collated 1,382 videos created by TikTokers aged 60 and above with at least 100,000 followers. These videos amassed over 3.5 billion views. Following previous studies, three raters coded each video for valence (negative-neutral-positive). We found that women created twice as many videos as men. The middle-old group (ages 75-84) created more videos than the young-old and oldest-old groups. Positive videos outnumbered negative ones by 10 times. As hypothesized, themes linked to positive self-portrayals were 'physical functioning' (p < .001) and 'social interaction' (p < .001). Conversely, 'cognitive functioning' (p < .001) evidenced a negative association, controlling for age and gender of the user. This is one of the first studies on older adults' self-portrayals of aging on TikTok. Our findings suggest that older adults tend to portray themselves positively across various domains on the application. If used purposefully, TikTok may serve as a promising platform for improving public perceptions of old age.

Media attention toward COVID-19 across 18 countries: The influence of cultural values and pandemic severity

BACKGROUND

Current media studies of COVID-19 devote asymmetrical attention to social media, in contrast, newspapers have received comparatively less attention. Newspapers are an integral source of current information-that are syndicated and amplified by social media to a wide global audience. This is the first-known study to investigate the impact of cultural values and pandemic severity on media attention towards COVID-19. Findings lay the groundwork for targeted public health communications that are culturally nuanced.

OBJECTIVE

We investigated the impact of cultural values and pandemic severity on Media Attention towards COVID-19 across 18 countries.

METHODS

We tracked the global volume of COVID-19 coverage (to measure media attention) over 8 months in a news media database of 12 billion words with 30 million articles from over 7,000 news media sites. Predictors of Media Attention towards COVID-19 came from the Oxford COVID-19 Government Response Tracker (incidence and mortality) and Hofstede's Cultural Values.

RESULTS

Media attention toward COVID-19 increased 55 times over 8 months. Higher rates of new cases and deaths predicted this exponential increase. Countries with higher power distance, uncertainty avoidance, and long-term orientation, were associated with increased media attention, controlling for covariates.

CONCLUSIONS

Cultural values play a significant role in the news media's attention toward COVID-19, controlling for pandemic severity. We provided a framework to design targeted public health communications that are culturally nuanced.

Ageism on Twitter during the COVID-19 pandemic

The COVID-19 crisis has sparked a resurgence of scholarly interest in the issue of ageism. Whether the outbreak thwarts or facilitates efforts to combat ageism hinges upon public sentiments toward the older demographic. This study aims to explore discourse surrounding older adults by analyzing 183,179 related tweets posted during the COVID-19 pandemic from February to December 2020. Overall, sentiments toward older adults became significantly less negative over time, being the least negative in April, August, and October, though the score remained below the neutral value throughout the 11 months. Our topic modelling analysis generated four themes: "The Need to Protect Older Adults" (41%), "Vulnerability and Mortality" (36%), "Failure of Political Leadership" (12%), and "Resilience" (11%). These findings indicate nascent support for older adults, though attempts to show solidarity may well worsen benevolent ageism.

A playbook for effective age advocacy on Twitter

BACKGROUND

Central to raising awareness of ageism are advocacy organizations dedicated to serving the needs and interests of older adults. Although many of these organizations have cultivated an online presence, inquiry into the effectiveness of age advocacy work on social media remains an untapped area. Our foray into this topic explores how different tweet features predict the level of engagement of posts uploaded by age advocacy organizations on Twitter.

METHODS

Tweets (N = 403,426) were collected from 53 accounts and spanned 12 years from July 2009 to October 2021. After applying our exclusion criteria, 204,905 tweets were retained for analysis. We analyzed the tweet features (predictors) and engagement level (outcome variable) using a linear mixed-effects model.

RESULTS

Tweets with higher engagement are those with a URL, with at least three hashtags, with visuals (GIF, photo, or video), which are quote tweets, and which are posted in the evening or at night Central Standard Time (CST), adjusting for account-level variables (e.g., follower count). Conversely, tweets with more than one mention, which are replies and which are uploaded in the morning are associated with lower engagement.

CONCLUSION

The rise of digital media means that advocates have the opportunity to communicate their messages to reach a critical mass. This is the first known study to offer an evidence-informed playbook for age advocacy organizations to optimize outreach efforts by maximizing online engagement. These results represent a crucial step in ongoing efforts to tackle ageism, an issue that has long been under-discussed.

Not Too Old for TikTok: How Older Adults are Reframing Aging

Background and Objectives

Although reputed for being the virtual playground of teenagers, TikTok has since made its way to older adults, some of whom have become content creators with millions of followers. Despite their immense sway over audiences, as well as their potential to reconfigure socially constructed notions of aging, these older TikTok personalities have been given scant attention in gerontological literature. We fill this gap by exploring how older adults use TikTok to engage in discourses on old age.

Research Design and Methods

We compiled the most viewed videos of users aged 60 and older with at least 100,000 followers, generating 1,382 videos with over 3.5 billion views. Videos that did not feature older adults engaging in discourses on aging were excluded, resulting in 348 videos for content analysis. Both inductive and deductive approaches guided the qualitative analysis.

Results

Three themes emerged: Nearly 3 in 4 videos featured older adults “Defying Age Stereotypes” (71%; Theme 1), 18% featured them “Making Light of Age-Related Vulnerabilities” (Theme 2), and 11% involved older adults “Calling out Ageism” (Theme 3).

Discussion and Implications

This is the first known study exploring how older adults consciously engage in discourses of aging through their participation on TikTok. Our findings highlight the potential for older adults to be put at the vanguard of a movement aimed at challenging socially constructed notions of old age.

Cohort profile: Singapore's nationally representative Retirement and Health Study with 5 waves over 10 years

The Retirement and Health Study (RHS) is Singapore's largest nationally representative cohort with over 15,000 participants (aged 45-85 years) followed across five timepoints in 10 years (2014-2024). Accounting for sample weights, the sample represents 1.2 million Singaporeans and permanent residents of a total population of 5.5 million. The RHS sought consent to link survey responses to relevant administrative data, enabling the cross-validation of self-reports with national databases. There are 10 sections in the RHS with over 400 questions, 50% of which are on respondents' physical and mental health, healthcare utilization and insurance; the remaining 50% are about employment history, retirement adequacy, wealth, and household expenditure. The RHS was set up to provide microdata to compliment administrative data for whole-of-government policy making given that Singapore will reach super-aged status by 2026. Sample findings include a need for older adults to balance between immediate financial needs and investments regarding their pension funds. Also, 86% of older adults preferred to transit into partial retirement by reducing workloads. On the health front, existing studies utilising the RHS have revealed latent classes of disabilities, and that intentions to seek employment can mitigate disability developments. Another study reported that physical disability and social isolation was projected to increase, with ethnic disparities in social functioning. Overall, the RHS will be used for evidenced-informed policy agenda setting and evaluation across domains of health, finance, retirement adequacy, social and family development.

'I decided to attend to him because it's my duty': Student Nurses perception and attitude towards care of older adults

BACKGROUND AND AIM

Nurses perception and attitude towards an older patient can positively or negatively influence the quality rendered. As students under training, the views of this population needs to be sought and shaped to improve the quality of care the older patients receive. This is because life expectancy is on the rise. The study aimed to explore students' perception of ageing and their attitude towards care of the older adults.

METHODS AND MATERIALS

An exploratory descriptive design was used. Data form containing the sociodemographic attributes of the students and a semi-structured interview form developed by the researchers in line with the literature. The participants interviewed were student nurses who had been in clinical practice for at least one semester. Four focus group discussions (FGD) were held.

RESULTS

Average age of the participants was 22.30 years. An equal number of males and females (15 each) were recruited to have a balance in gender. Students expressed that they saw the older adults as their grandparents so they try to accord them respect and care. However, older adults are perceived not receptive to nurses in training. The students stated that registered nurses neglected the basic care of older adults such as diaper changes, bathing, and feeding, and would rather beckon student nurses to attend to the older adults.

CONCLUSION

Gerontology as a stand-alone course is necessary for early years of training to give an in-depth education to nursing students and instil a positive attitude towards older adult patients.

Societal Narratives on Caregivers in Asia

Although there has been an increase in awareness of the struggles experienced by caregivers, discourse on caregiving remains confined mostly to academia, policy circles or the family unit. There have been suggestions that public discourse on informal caregiving dwells overwhelmingly on the outsize toll it takes on the health of caregivers. However, few studies have examined societal narratives on caregivers-a gap our study aims to fill. We leveraged an online media database of 12 billion words collated from over 30 million articles to explore societal narratives on caregivers in six Asian countries. Computational linguistics and statistical analysis were applied to study the content of narratives on caregivers. The prevalence of societal narratives on caregivers was highest in Singapore-five times higher than Sri Lanka, which evidenced the lowest prevalence. Findings reveal that the inadequacies of institutional care as well as the need to train and empower caregivers are pressing issues that need to be prioritized on the policy agenda in Asia. Of broader significance, the diverse capabilities across Asia present opportunities for cross-country learning and capacity-building.

Reframing Aging during COVID-19: Familial Role-Based Framing of Older Adults Linked to Decreased Ageism

Background

Contributions of older adults amid the COVID‐19 pandemic have been eclipsed by discourse positioning them as an at‐risk population. We assess whether age‐based framing (e.g., senior citizen) is associated with more negative stereotyping in the media compared to familial role‐based framing (e.g., grandparent) across 8 months, from a baseline period (October 2019–December 2019) to the onset of the pandemic (January 2020–May 2020).

Methods

Leveraging a 12‐billion‐word news media database—with over 30 million news articles from over 7000 websites—we identified the most common synonyms for age‐based framing (e.g., senior citizen) and familial role‐based framing (e.g., grandparent). For each framing category, we compiled the most frequently used descriptors every month, amassing 488,907 descriptors in total. All descriptors were rated from 1 (very negative) to 5 (very positive) to determine a Cumulative Aging Narrative Score (CANS) for age‐based and familial role‐based framing.

Results

Age‐based framing of older adults increased negative stereotyping in the media by seven times compared to familial role‐based framing during COVID‐19. The percentage of positive topics for age‐based framing was significantly lower during COVID‐19 (35%) than before (61%). Conversely, the percentage of positive topics for familial role‐based framing was higher during the pandemic (91%) than before (70%).

Conclusion

This is one of the first empirical studies on whether framing older adults based on age or role is linked to more negative stereotypes during COVID‐19. We argue for a more role‐centered approach in framing older adults so that their contributions are acknowledged and valued by society.

The Impact of Aging Policy on Societal Age Stereotypes and Ageism

Background and Objectives

While studies have researched ageism in public policy, few investigated the impact of aging policy on ageism—typically, an unintended consequence. Ageism is linked to $63 billion in health care costs, so its antecedents are of interest. We test the association between Aging Policy Agenda Setting and Societal Age Stereotypes and hypothesize a mediating pathway via Medicalization of Aging, moderated by demographics.

Research Design and Methods

Scholars identified Singapore’s Pioneer Generation Policy (PGP) as one of the largest policy implementations in recent years, where the agenda was set by the Prime Minister at an equivalent State of the Union address in 2013, and US$7 billion allocated to fund outpatient health care costs for aged 65 years or older. More than 400,000 older adults received a PGP card and home visits by trained volunteers who co-devised a personalized utilization plan. We leveraged a 10-billion-word data set with more than 30 million newspaper and magazine articles to dynamically track Societal Age Stereotype scores over 8 years from pre- to postpolicy implementation.

Results

Societal Age Stereotypes followed a quadratic trend: Prior to the Aging Policy Agenda Setting from 2010 to 2014, stereotypes were trending positive; after 2014, it trended downward to become more negative. Medicalization of Aging mediated the relationship between Aging Policy Agenda Setting and Societal Age Stereotypes. Furthermore, Old-age Support Ratio moderated the mediational model, suggesting that the impact of policy on medicalization is stronger when a society is more aged.

Discussion and Implications

We provided a framework for policymakers to ameliorate the unintended consequences of aging policies on societal ageism—if unaddressed, it will exert an insidious toll on older adults, even if initial policies are well-intentioned.

Anti-Asian Sentiments during COVID-19 across 20 Countries: Analysis of a 12-billion-word News Media Database

Background

US president Joe Biden signed an executive action directing federal agencies to combat hate crimes and racism against Asians, which have percolated during the COVID-19 pandemic. This is one of the first known empirical studies to dynamically test whether global societal sentiments toward Asians have become more negative during the COVID-19 pandemic.

Objective

This study aimed to investigate whether global societal sentiments toward Asians across 20 countries have become more negative, month by month, from before the pandemic (October 2019) to May 2020, along with the pandemic (incidence and mortality rates) and cultural (Hofstede’s cultural dimensions) predictors of this trend.

Methods

We leveraged a 12-billion-word web-based media database, with over 30 million newspaper and magazine articles taken from over 7000 sites across 20 countries, and identified 6 synonyms of “Asian” that are related to the coronavirus. We compiled their most frequently used descriptors (collocates) from October 2019 to May 2020 across 20 countries, culminating in 85,827 collocates that were rated by 2 independent researchers to provide a Cumulative Asian Sentiment Score (CASS) per month. This allowed us to track significant shifts in societal sentiments toward Asians from a baseline period (October to December 2019) to the onset of the pandemic (January to May 2020). We tested the competing predictors of this trend: pandemic variables of incidence and mortality rates measured monthly for all 20 countries taken from the Oxford COVID-19 Government Response Tracker, and Hofstede’s Cultural Dimensions of Individualism, Power Distance, Uncertainty Avoidance, and Masculinity for the 20 countries.

Results

Before the pandemic in December 2019, Jamaica and New Zealand evidenced the most negative societal sentiments toward Asians; when news about the coronavirus was released in January 2020, the United States and Nigeria evidenced the most negative sentiments toward Asians among 20 countries. Globally, sentiments of Asians became more negative—a significant linear decline during the COVID-19 pandemic. CASS trended neutral before the pandemic during the baseline period of October to November 2019 and then plummeted in February 2020. CASS were, ironically, not predicted by COVID-19’s incidence and mortality rates, but rather by Hofstede’s cultural dimensions: individualism, power distance, and uncertainty avoidance—as shown by mixed models (N=28,494). Specifically, higher power distance, individualism, and uncertainty avoidance were associated with negative societal sentiments toward Asians.

Conclusions

Racism, in the form of Anti-Asian sentiments, are deep-seated, and predicated on structural undercurrents of culture. The COVID-19 pandemic may have indirectly and inadvertently exacerbated societal tendencies for racism. Our study lays the important groundwork to design interventions and policy communications to ameliorate Anti-Asian racism, which are culturally nuanced and contextually appropriate.

News media narratives of Covid-19 across 20 countries: Early global convergence and later regional divergence

BACKGROUND

Seldom in history does one get a 'front row seat'-with large-scale dynamic data-on how online news media narratives shift with a global pandemic. News media narratives matter because they shape societal perceptions and influence the core tent poles of our society, from the economy to elections. Given its importance-and with the benefit of hindsight-we provide a systematic framework to analyze news narratives of Covid-19, laying the groundwork to evaluate policy and risk communications.

OBJECTIVES

We leverage a 10-billion-word-database of online news, taken from over 7,000 English newspapers and magazines across 20 countries, culminating in 28 million articles. First, we track the volume of Covid-19 conversations across 20 countries from before to during the pandemic (Oct'19 to May'20). Second, we distill the phases of global pandemic narratives, and elucidate regional differences.

METHODS

To track the volume of Covid-19 narratives, we identified 10 target terms-Coronavirus, Covid-19, Covid, nCoV, SARS-CoV-2, Wuhan Virus, Virus, Disease, Epidemic, Pandemic-and tracked their combined monthly prevalence across eight months from October 2019 through May 2020. Globally, across 20 countries, we identified 18,042,855 descriptors of the target terms. Further, these descriptors were analysed with natural language processing models to generate the top five topics of Covid-19 that were labelled by two independent researchers. This process was repeated across six continents to distil regional topics.

RESULTS

Our model found four phases of online news media narratives: Pre-pandemic, Early, Peak and Recovery. Pre-pandemic narratives (Oct'19-Dec'19) were divergent across regions with Africa focused on monkeypox, Asia on dengue fever, and North America on Lyme disease and AIDS. Early (Jan-Feb'20) and Peak Pandemic (Mar-May'20) evidenced a global convergence, reflecting the omnipresence of Covid-19. The brief transition from early to peak pandemic narratives underscored the pandemic's rapid spread. Emerging from the embers of the pandemic's peak were nascent recovery words that are regionally divergent-Oceania focused on hope and an uncertain future while North America centered on re-opening the economy and tackling discrimination.

CONCLUSIONS

Practically, we presented a media barometer of Covid-19, and provided a framework to analyse the pandemic's impact on societal perceptions-laying the important groundwork for policy makers to evaluate policy communications, and design risk communication strategies.

Societal Age Stereotypes in the U.S. and U.K. from a Media Database of 1.1 Billion Words

Recently, 194 World Health Organization member states called on the international organization to develop a global campaign to combat ageism, citing its alarming ubiquity, insidious threat to health, and prevalence in the media. Existing media studies of age stereotypes have mostly been single-sourced. This study harnesses a 1.1-billion-word media database comprising the British National Corpus and Corpus of Contemporary American English-with genres including spoken/television, fiction, magazines, newspapers-to provide a comprehensive view of ageism in the United Kingdom and United States. The US and UK were chosen as they are home to the largest media conglomerates with tremendous power to shape public opinion. The most commonly used synonym of older adults was identified, and its most frequently used descriptors were analyzed for valence. Such computational linguistics techniques represent a new advance in studying aging narratives. The key finding is consistent, though no less alarming: Negative descriptions of older adults outnumber positive ones by six times. Negative descriptions tend to be physical, while positive ones tend to be behavioral. Magazines contain the highest levels of ageism, followed by the spoken genre, newspapers, and fiction. Findings underscore the need to increase public awareness of ageism and lay the groundwork to design targeted societal campaigns to tackle ageism-one of our generation's most pernicious threats.

Implementing an Individual-Centric Discharge Process across Singapore Public Hospitals

Singapore is one of the first known countries to implement an individual-centric discharge process across all public hospitals to manage frequent admissions-a perennial challenge for public healthcare, especially in an aging population. Specifically, the process provides daily lists of high-risk patients to all public hospitals for customized discharge procedures within 24 h of admission. We analyzed all public hospital admissions (N = 150,322) in a year. Among four models, the gradient boosting machine performed the best (AUC = 0.79) with a positive predictive value set at 70%. Interestingly, the cumulative length of stay (LOS) in the past 12 months was a stronger predictor than the number of previous admissions, as it is a better proxy for acute care utilization. Another important predictor was the "number of days from previous non-elective admission", which is different from previous studies that included both elective and non-elective admissions. Of note, the model did not include LOS of the index admission-a key predictor in other models-since our predictive model identified frequent admitters for pre-discharge interventions during the index (current) admission. The scientific ingredients that built the model did not guarantee its successful implementation-an "art" that requires the alignment of processes, culture, human capital, and senior management sponsorship. Change management is paramount, otherwise data-driven health policies, no matter how well-intended, may not be accepted or implemented. Overall, our study demonstrated the viability of using artificial intelligence (AI) to build a near real-time nationwide prediction tool for individual-centric discharge, and the critical factors for successful implementation.