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.

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.

Anti-Asian Sentiments During the COVID-19 Pandemic 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.

Diversity of COVID-19 News Media Coverage across 17 Countries: The Influence of Cultural Values, Government Stringency and Pandemic Severity.

The 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 one of the first known studies to operationalize news media diversity and examine its association with cultural values during the pandemic. We tracked the global diversity of COVID-19 coverage in a news media database of 12 billion words, collated from 28 million articles over 7000 news websites, across 8 months. Media diversity was measured weekly by the number of unique descriptors of 10 target terms of the pandemic (e.g., COVID-19, coronavirus) and normalized by the corpus size for the respective countries per week. Government Stringency was taken from the Oxford COVID-19 Government Response Tracker and cultural scores were taken from Hofstede's Cultural Values global database. Results showed that Media Diversity Rate increased 6.7 times over 8 months, from the baseline period (October-December 2019) to during the pandemic (January-May 2020). Mixed effects modelling revealed that higher COVID-19 prevalence rates and governmental stringency predicted this increase. Interestingly, collectivist cultures are linked to more diverse media coverage during COVID-19. It is possible that news outlets in collectivist societies are motivated to present a diverse array of topics given the impact of COVID-19 on every segment of society. Of broader significance, we provided a framework to design targeted public health communications that are culturally nuanced.

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.

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.

Culture Linked to Increasing Ageism During COVID-19: Evidence From a 10-Billion-Word Corpus Across 20 Countries.

OBJECTIVES: Older adults experience higher risks of getting severely ill from coronavirus disease 2019 (COVID-19), resulting in widespread narratives of frailty and vulnerability. We test: (a) whether global aging narratives have become more negative from before to during the pandemic (October 2019 to May 2020) across 20 countries; (b) model pandemic (incidence and mortality), and cultural factors associated with the trajectory of aging narratives. METHODS: We leveraged a 10-billion-word online-media corpus, consisting of 28 million newspaper and magazine articles across 20 countries, to identify nine common synonyms of "older adults" and compiled their most frequently used descriptors (collocates) from October 2019 to May 2020-culminating in 11,504 collocates that were rated to create a Cumulative Aging Narrative Score per month. Widely used cultural dimension scores were taken from Hofstede, and pandemic variables, from the Oxford COVID-19 Government Response Tracker. RESULTS: Aging narratives became more negative as the pandemic worsened across 20 countries. Globally, scores were trending neutral from October 2019 to February 2020, and plummeted in March 2020, reflecting COVID-19's severity. Prepandemic (October 2019), the United Kingdom evidenced the most negative aging narratives; peak pandemic (May 2020), South Africa took on the dubious honor. Across the 8-month period, the Philippines experienced the steepest trend toward negativity in aging narratives. Ageism, during the pandemic, was, ironically, not predicted by COVID-19's incidence and mortality rates, but by cultural variables: Individualism, Masculinity, Uncertainty Avoidance, and Long-term Orientation. DISCUSSION: The strategy to reverse this trajectory lay in the same phenomenon that promoted it: a sustained global campaign-though, it should be culturally nuanced and customized to a country's context.

Aging Narratives Over 210 Years (1810-2019).

OBJECTIVES: The World Health Organization launched a recent global campaign to combat ageism, citing its ubiquity and insidious threat to health. The historical context that promoted this pernicious threat is understudied, and such studies lay the critical foundation for designing societal-level campaigns to combat it. We analyzed the trend and content of aging narratives over 210 years across multiple genres-newspaper, magazines, fiction, nonfiction books-and modeled the predictors of the observed trend. 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.