Younger Americans are less politically polarized than older Americans about climate policies (but not about other policy domains).

Political polarization of Americans' support for climate policies often impedes the adoption of new, urgently needed climate solutions. However, recent polls suggest that younger conservatives favor adopting pro-climate policies to a greater degree than older conservatives, resulting in less political polarization among younger Americans relative to older Americans. To better understand these patterns, we analyzed Americans' support for various climate policies from 1982-2020, across 16 waves of historical, nationally representative survey data from the American National Election Studies (total N = 29,467). Regression models consistently show that, since 2012, younger Americans have been less politically polarized than older Americans on support for climate policies. Before 2012 and on non-climate policy topics, we did not find consistent statistical evidence for political polarization varying with age. These findings can inform policy debates about climate change and offer hope to environmentalists and policymakers who seek to build broad consensus for climate action at the policy level.

Food and nutrition insecurity: Experiences that differ for some and independently predict diet-related disease, Los Angeles County, 2022.

BACKGROUND: National surveillance shows that food insecurity affects at least one-in-ten Americans each year. Recently, experts have been advocating for surveillance of nutrition insecurity alongside food insecurity. Nutrition security refers to the nutritional adequacy of accessible food and factors that impact one's ability to meet food preferences. OBJECTIVE: This study presents representative estimates of food insecurity and nutrition insecurity for Los Angeles County, CA, USA; compares predictors of these constructs; and examines whether they independently predict diet-related health outcomes. METHODS: In December 2022, a representative sample of Los Angeles County adults participating in the Understanding America Study (N=1071) was surveyed about household food insecurity and nutrition insecurity over the past 12 months. Data were analyzed in 2023. RESULTS: Reported rates were similar for food insecurity (24%) and nutrition insecurity (25%), but the overlap of these subgroups was less than 60%. Logistic regression models indicated that non-Hispanic Asian individuals had higher odds of nutrition insecurity but not food insecurity. Moreover, nutrition insecurity was a stronger predictor of diabetes compared to food insecurity, and both constructs independently predicted poor mental health. CONCLUSIONS: Food and nutrition insecurity affect somewhat different populations. Both constructs are valuable predictors of diet-related health outcomes. Monitoring nutrition insecurity in addition to food insecurity can provide new information about populations with barriers to healthy diets.

Socio-ecological factors linked with changes in adults' dietary intake in Los Angeles County during the peak of the coronavirus 2019 pandemic.

OBJECTIVE: Comprehensive studies examining longitudinal predictors of dietary change during the coronavirus disease 2019 pandemic are lacking. Based on an ecological framework, this study used longitudinal data to test if individual, social and environmental factors predicted change in dietary intake during the peak of the coronavirus 2019 pandemic in Los Angeles County and examined interactions among the multilevel predictors. DESIGN: We analysed two survey waves (e.g. baseline and follow-up) of the Understanding America Study, administered online to the same participants 3 months apart. The surveys assessed dietary intake and individual, social, and neighbourhood factors potentially associated with diet. Lagged multilevel regression models were used to predict change from baseline to follow-up in daily servings of fruits, vegetables and sugar-sweetened beverages. SETTING: Data were collected in October 2020 and January 2021, during the peak of the coronavirus disease 2019 pandemic in Los Angeles County. PARTICIPANTS: 903 adults representative of Los Angeles County households. RESULTS: Individuals who had depression and less education or who identified as non-Hispanic Black or Hispanic reported unhealthy dietary changes over the study period. Individuals with smaller social networks, especially low-income individuals with smaller networks, also reported unhealthy dietary changes. After accounting for individual and social factors, neighbourhood factors were generally not associated with dietary change. CONCLUSIONS: Given poor diets are a leading cause of death in the USA, addressing ecological risk factors that put some segments of the community at risk for unhealthy dietary changes during a crisis should be a priority for health interventions and policy.

Understanding food insecurity in Los Angeles County during the COVID-19 pandemic and its aftermath: A qualitative interview study.

The COVID-19 pandemic brought increases in food insecurity in Los Angeles (L.A.) County, defined as lacking household access to adequate food because of limited money or other resources. Here, we aimed to understand the lived experiences of food insecurity during the COVID-19 pandemic and its aftermath. In August-December 2022, we interviewed 30 residents of L.A. County who were participants in an ongoing internet panel and had reported experiencing food insecurity between April 2020 and July 2021. A stratified-sampling approach was used to recruit a diverse sample with and without government food assistance. We report five key findings, which underscore the stress and worry associated with the experience of food insecurity, and the coping strategies people implemented: (1) The pandemic prompted food insecurity as well as stressful shifts in eating behaviors compared to before the pandemic, with some eating much less food, some eating less nutritious food, and some eating much more due to being stuck at home; (2) Buying food became more effortful and financially challenging; (3) Government food assistance from the Supplemental Nutrition Assistance Program (SNAP) was important for reducing food insecurity, but was sometimes insufficient, inconsistent, and didn't cover all retailers or food items; (4) Interviewees had to rely on their social networks, food banks or pantries, churches, and schools to meet their food needs and cope with food insecurity, but some faced barriers in doing so; (5) For some, food insecurity was worse in late 2022, almost two years after the pandemic started. We conclude with implications for policymakers and practitioners, emphasizing the importance of meeting the needs of diverse residents and addressing food insecurity in the aftermath of the COVID-19 pandemic.

New insights into grocery store visits among east Los Angeles residents using mobility data.

In this study, we employed spatially aggregated population mobility data, generated from mobile phone locations in 2021, to investigate patterns of grocery store visits among residents east and northeast of Downtown Los Angeles, in which 60% of the census tracts had previously been designated as "food deserts". Further, we examined whether the store visits varied with neighborhood sociodemographics and grocery store accessibility. We found that residents averaged 0.4 trips to grocery stores per week, with only 13% of these visits within home census tracts, and 40% within home and neighboring census tracts. The mean distance from home to grocery stores was 2.2 miles. We found that people visited grocery stores more frequently when they lived in neighborhoods with higher percentages of Hispanics/Latinos, renters and foreign-born residents, and a greater number of grocery stores. This research highlights the utility of mobility data in elucidating grocery store use, and factors that may facilitate or be a barrier to store access. The results point to limitations of using geographically constrained metrics of food access like food deserts.

A social science research agenda to accelerate public engagement in climate change adaptation.

Recent studies find that people in high-income countries now think of climate change impacts, such as flooding or periods of high temperature, as being of immediate relevance and concern. Individuals and households can take adaptation actions to help limit the severity of harm caused when climate impacts occur, for example, they could make adjustments to their homes such as installing flood gates or sun shades, or they could adapt their behavior such as staying indoors during the hottest part of the day. However, so far adaptation is not yet happening at the speed or scale needed to adequately prepare for the climate impacts already being experienced or those projected for the coming decades. Here, we propose an agenda for future social science research that would further our understanding of how best to increase engagement and action in climate change adaptation.

Beyond High-Income Countries: Low Numeracy Is Associated with Older Adult Age around the World.

Background: Numeracy, or the ability to understand and use numbers, has been associated with obtaining better health and financial outcomes. Studies in high-income countries suggest that low numeracy is associated with older age-perhaps especially among individuals with lower education. Here, we examined whether findings generalize to the rest of the world. Methods: Gallup surveyed >150,000 participants for the 2019 Lloyd's Register Foundation World Risk Poll, from 21 low-income, 34 lower-middle income, 42 upper-middle income, and 43 high-income countries. Low numeracy was operationalized as failing to correctly answer, "Is 10% bigger than 1 out of 10, smaller than 1 out of 10, or the same as 1 out of 10?" Results: Regressions controlling for participants' education, income, and other characteristics found that, worldwide, low numeracy was associated with older age, lower education, and their interaction. Findings held in each country-income category, although low numeracy was more common in low-income countries than in high-income countries. Limitations: Age differences may reflect cohort effects and life span-developmental changes. Discussion: Low numeracy is more common among people who are older and less educated. We discuss the need for education and interventions outside of the classroom. Highlights: We analyzed a global survey conducted in 21 low-income, 34 lower-middle income, 42 upper-middle income, and 43 high-income countries.Low numeracy was associated with older adult age, even after accounting for age differences in education.Low numeracy was more common in older people with lower education.

Ecological risk and protective factors for food insufficiency in Los Angeles County during the COVID-19 pandemic.

OBJECTIVE: The COVID-19 pandemic increased food insufficiency: a severe form of food insecurity. Drawing on an ecological framework, we aimed to understand factors that contributed to changes in food insufficiency from April to December 2020, in a large urban population hard hit by the pandemic. DESIGN: We conducted internet surveys every 2 weeks in April-December 2020, including a subset of items from the Food Insecurity Experience Scale. Longitudinal analysis identified predictors of food insufficiency, using fixed effects models. SETTING: Los Angeles County, which has a diverse population of 10 million residents. PARTICIPANTS: A representative sample of 1535 adults in Los Angeles County who are participants in the Understanding Coronavirus in America tracking survey. RESULTS: Rates of food insufficiency spiked in the first year of the pandemic, especially among participants living in poverty, in middle adulthood and with larger households. Government food assistance from the Supplemental Nutrition Assistance Program was significantly associated with reduced food insufficiency over time, while other forms of assistance such as help from family and friends or stimulus funds were not. CONCLUSIONS: The findings highlight that during a crisis, there is value in rapidly monitoring food insufficiency and investing in government food benefits.

Food Insecurity Is Under-reported in Surveys That Ask About the Past Year.

INTRODUCTION: Food insecurity affects one in ten Americans in a typical year; recent U.S. Department of Agriculture data show that this food insecurity rate was stable from 2019 to 2021. However, data from Los Angeles County and other U.S. regions show that food insecurity spiked during the early months of the COVID-19 pandemic. One reason for this discrepancy may be that food insecurity measures assess experiences over different time frames. This study investigated the discrepancies in food insecurity rates by comparing past-week and past-year food insecurity measures and explored the role of recall bias. METHODS: Data were obtained from a representative survey panel of Los Angeles adults (N=1,135). Participants were surveyed about past-week food insecurity eleven times throughout 2021 and once about past-year food insecurity in December 2021. Data were analyzed in 2022. RESULTS: Of the participants who reported past-week food insecurity at any time in 2021, only two thirds also reported past-year food insecurity in December 2021, suggesting that one third of participants under-reported past-year food insecurity. Logistic regression models indicated that three characteristics were significantly associated with under-reporting of past-year food insecurity: having reported past-week food insecurity at fewer survey waves, not reporting recent past-week food insecurity, and having a relatively high household income. CONCLUSIONS: These results suggest substantial under-reporting of past-year food insecurity, related to recall bias and social factors. Measuring food insecurity at multiple points throughout the year may help to improve the accuracy of reporting and public health surveillance of this issue.

Age differences in social decision-making preferences and perceived ability.

Decision-making often occurs in a social context but is typically studied as if it were an individualistic process. In the present study, we investigated the relationships between age, perceived decision-making ability, and self-rated health with preferences for social decision-making, or making decisions with others. Adults (N = 1,075; ages 18-93) from an U.S. online national panel reported their preferences for social decision-making, perceived changes in decision-making ability over time, perceived decision-making ability compared to age peers, and self-rated health. We report on three key findings. First, older age was associated with being less likely to prefer social decision-making. Second, older age was associated with perceiving one's ability to have changed for the worse over time. Third, social decision-making preferences were associated both with older age and perceiving one's ability to make decisions was worse than age peers. Additionally, there was a significant cubic function of age, such that older age was associated with lesser preferences for social decision-making until around age 50. Preferences then increased slightly with age until about age 60, after which older age was once again associated with lesser preferences for social decision-making. Together, our findings suggest that compensating for perceived lack of competence compared to other people one's age may motivate preferences for social decision-making across the life span. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Age differences in psychological distress during the COVID-19 pandemic: March 2020 - June 2021.

In March 2020, COVID-19 brought illness, lockdowns, and economic turmoil worldwide. Studies from March-April 2020 reported increased psychological distress, especially among younger (vs. older) adults. Here, we examine whether age differences persisted in a 29-wave longitudinal survey conducted with an American national life-span sample over the first 16 months of the pandemic. Socio-emotional selectivity theory (SST) predicts that older age will be consistently associated with lower psychological distress due to life-span changes in motivation, while the strength and vulnerability integration model (SAVI) posits that age differences in psychological distress will diminish under prolonged stress. We find that younger adults consistently reported more psychological distress than older adults, though age differences did decrease over time. Prior diagnosis with anxiety or depression additionally predicted greater psychological distress throughout the study, but did not moderate age differences. We discuss implications for psychological theories of aging and interventions to reduce psychological distress.

The Role of Confidence and Knowledge in Intentions to (Not) Seek Care for Hypertension: Evidence From a National Survey.

BACKGROUND: Hypertension (high blood pressure) is a modifiable risk factor for cardiovascular disease. However, patients may lack confidence in their understanding of what constitutes normal/healthy blood pressure, potentially affecting intentions to seek necessary care. The American Heart Association defines normal/healthy blood pressure as <120/80 mm Hg, with a 130/80 mm Hg threshold for hypertension diagnosis. METHODS: Our US sample (N = 6,592) included 1,342 adults with hypertension alone and 795 with hypertension and relevant comorbidities (heart disease, kidney disease, and diabetes mellitus). We assessed confidence in understanding blood pressure numbers, knowledge of thresholds for normal/healthy blood pressure ("normal or healthy blood pressure is below . . ."; counting 120-130/80 mm Hg as correct), and intentions to seek care for randomly assigned blood pressure readings of 142/91 (stage 2 hypertension), 132/69 (stage 1 hypertension), or 118/78 mm Hg (normal/healthy blood pressure). RESULTS: Among nonhypertensive participants, 55% expressed confidence in their understanding of blood pressure numbers, but only 36% knew the upper thresholds for normal/healthy blood pressure. Among participants with hypertension alone, 78% were confident while 47% were knowledgeable. Among participants with hypertension and comorbidities, 81% were confident and 40% were knowledgeable. Participants who were confident (v. not) were more likely to express intentions to act on stage 2 hypertension readings but less likely to express intentions to act on stage 1 readings, even after adjustment for knowledge, hypertension diagnosis, and sociodemographics. LIMITATIONS: Confidence, knowledge, and intentions were each measured with 1 question. CONCLUSIONS: Independent of knowledge, confidence was associated with greater willingness to act on stage 2 hypertension readings but reduced willingness to act on stage 1 hypertension readings. Interventions aiming to improve hypertension care-seeking behavior should improve confidence in accurate knowledge. HIGHLIGHTS: Hypertension or high blood pressure is a major risk factor for heart disease.Most Americans do not know that normal/healthy blood pressure levels are ≤120/80 mm Hg, yet they are confident that they know this information.Inappropriate confidence in understanding of blood pressure numbers undermines intentions to seek care for stage 1 hypertension blood pressure readings.

Public Concern about Water Safety, Weather, and Climate: Insights from the World Risk Poll.

Water safety refers to the quality of one's drinking water and whether it lacks dangerous contaminants. Limited access to safe water is projected to impact approximately 5 billion people worldwide by 2050. Climate change and worsening severe weather events pose increasing threats to global water safety. However, people may not perceive links between climate change and water safety, potentially undermining their willingness to implement behaviors that improve water safety. Existing studies on water safety risk perceptions have mostly been conducted in single-country contexts, which limits researchers' ability to make cross-national comparisons. Here, we assessed the extent to which people's severe weather concern and climate change concern predict their water safety concern. Our analyses used survey data from the 142-country 2019 Lloyd's Register Foundation World Risk Poll, including 21 low-income and 34 lower-middle-income countries. In mixed-effects models, severe weather concern was significantly more predictive of water safety concern than was climate change concern, although both resulted in positive associations. Worldwide, this finding was robust, insensitive to key model specifications and countries' varying protection against unsafe drinking water. We suggest communicators and policymakers improve messaging about water safety and other environmental threats by explaining how they are impacted by worsening severe weather.

Associations of Eating Identities With Self-Reported Dietary Behaviors and Body Mass Index.

Objective: To inform dietary interventions, it is important to understand antecedents of recommended (henceforth: healthy) dietary behaviors, beyond dietary beliefs and self-efficacy. We used the validated "Eating Identity Type Inventory" to assess the extent to which participants identified as healthy eaters, meat eaters, emotional eaters or picky eaters. We examined correlations between participants' race/ethnicity and other socio-demographic characteristics and affinity with these eating identities, how affinity with these eating identities correlated with self-reports of dietary beliefs, self-efficacy, dietary behaviors and Body Mass Index (BMI), and how well affinity with these eating identities predicted self-reported dietary behaviors and BMI, as compared to self-reported dietary beliefs and self-efficacy. Methods: In an online survey, a diverse sample of 340 Los Angeles County adults reported eating identities, dietary beliefs, and self-efficacy, dietary behaviors and BMI. Results: Pearson correlations revealed that identifying more as a healthy eater was positively associated with self-reports of being non-Hispanic White, non-Hispanic mixed race, older, and college-educated, while identifying more as a meat eater was positively associated with self-reports of being non-Hispanic Black, younger, and male (α = 0.05). Pearson correlations also showed that healthy eaters had more accurate dietary beliefs and self-efficacy, and emotional eaters had lower self-efficacy (α = 0.05). In linear regressions, identifying more as a healthy eater was associated with self-reporting healthier dietary behaviors and lower BMI, and identifying more as a meat eater and emotional eater was associated with reporting less healthy dietary behaviors and higher BMI, even after accounting for correlations with socio-demographics, dietary beliefs, and self-efficacy (α = 0.05). Conclusions: Our findings highlight the importance of eating identities in understanding dietary behaviors and outcomes, with implications for dietary interventions.

How are patient-related characteristics associated with shared decision-making about treatment? A scoping review of quantitative studies.

OBJECTIVES: To identify what patient-related characteristics have been reported to be associated with the occurrence of shared decision-making (SDM) about treatment. DESIGN: Scoping review. ELIGIBILITY CRITERIA: Peer-reviewed articles in English or Dutch reporting on associations between patient-related characteristics and the occurrence of SDM for actual treatment decisions. INFORMATION SOURCES: COCHRANE Library, Embase, MEDLINE, PsycInfo, PubMed and Web of Science were systematically searched for articles published until 25 March 2019. RESULTS: The search yielded 5289 hits of which 53 were retained. Multiple categories of patient characteristics were identified: (1) sociodemographic characteristics (eg, gender), (2) general health and clinical characteristics (eg, symptom severity), (3) psychological characteristics and coping with illness (eg, self-efficacy) and (4) SDM style or preference. Many characteristics showed no association or unclear relationships with SDM occurrence. For example, for female gender positive, negative and, most frequently, non-significant associations were seen. CONCLUSIONS: A large variety of patient-related characteristics have been studied, but for many the association with SDM occurrence remains unclear. The results will caution often-made assumptions about associations and provide an important step to target effective interventions to foster SDM with all patients.

Perceived Social Norms Guide Health Care Decisions for Oneself and Others: A Cross-Sectional Experiment in a US Online Panel.

BACKGROUND: Global aging has increased the reliance on surrogates to make health care decisions for others. We investigated the differences between making health care decisions and predicting health care decisions, self-other differences for made and predicted health care decisions, and the roles of perceived social norms, emotional closeness, empathy, age, and gender. METHODS: Participants (N = 2037) from a nationally representative US panel were randomly assigned to make or to predict a health care decision. They were also randomly assigned to 1 of 5 recipients: themselves, a loved one 60 y or older, a loved one younger than 60 y, a distant acquaintance 60 y or older, or a distant acquaintance younger than 60 y. Hypothetical health care scenarios depicted choices between relatively safe lower-risk treatments with a good chance of yielding mild health improvements versus higher-risk treatments that offered a moderate chance of substantial health improvements. Participants reported their likelihood of choosing lower- versus higher-risk treatments, their perceptions of family and friends' approval of risky health care decisions, and their empathy. RESULTS: We present 3 key findings. First, made decisions involved less risk taking than predicted decisions, especially for distant others. Second, predicted decisions were similar for others and oneself, but made decisions were less risk taking for others than oneself. People predicted that loved ones would be less risk taking than distant others would be. Third, perceived social norms were more strongly associated than empathy with made and predicted decisions. LIMITATIONS: Hypothetical scenarios may not adequately represent emotional processes in health care decision making. CONCLUSIONS: Perceived social norms may sway people to take less risk in health care decisions, especially when making decisions for others. These findings have implications for improving surrogate decision making. HIGHLIGHTS: People made less risky health care decisions for others than for themselves, even though they predicted others would make decisions similar to their own. This has implications for understanding how surrogates apply the substituted judgment standard when making decisions for patients.Perceived social norms were more strongly related to decisions than treatment-recipient (relationship closeness, age) and decision-maker (age, gender, empathy) characteristics. Those who perceived that avoiding health care risks was valued by their social group were less likely to choose risky medical treatments.Understanding the power of perceived social norms in shaping surrogates' decisions may help physicians to engage surrogates in shared decision making.Knowledge of perceived social norms may facilitate the design of decision aids for surrogates.

Private Well Testing in Peri-Urban African-American Communities Lacking Access to Regulated Municipal Drinking Water: A Mental Models Approach to Risk Communication.

Majority African-American neighborhoods on the edges of North Carolina municipalities are less likely than white peri-urban neighborhoods to be served by a community system regulated under the Safe Drinking Water Act. These households rely on unregulated private wells, which are at much higher risk of contamination than neighboring community water supplies. Yet, risk awareness of consuming well water is low, and no prior research has tested risk communication interventions for these communities. We present a randomized-controlled trial of an oversized postcard to promote water testing among this audience. The postcard design followed the mental models approach to risk communication. To our knowledge, this is the first U.S. randomized-controlled trial of a mailed communication to promote water testing in any audience and one of few trials of the mental models approach. We evaluated the postcard's effects on self-reported water testing with and without a free water test offer (vs. no-intervention control) via a survey mailed one month after the interventions. The combined communication and free test doubled the odds of self-reported water testing, compared to the control group (p = 0.046). It increased the odds of testing by 65%, compared to the free test alone. Recall of receiving a postcard about water testing increased the odds of self-reported testing twelve-fold (p < 0.001). Although these results suggest that targeted risk information delivered by mail can promote water testing when paired with a free test, the mechanism remains unclear. Additional research on beliefs influencing perceptions about well water may yield interventions that are even more effective.

COVID-19 Information Sources and Health Behaviors During Pregnancy: Results From a Prenatal App-Embedded Survey.

BACKGROUND: Pregnancy is a time of heightened COVID-19 risk. Pregnant individuals' choice of specific protective health behaviors during pregnancy may be affected by information sources. OBJECTIVE: This study examined the association between COVID-19 information sources and engagement in protective health behaviors among a pregnant population in a large academic medical system. METHODS: Pregnant patients completed an app-based questionnaire about their sources of COVID-19 information and engagement in protective health behaviors. The voluntary questionnaire was made available to patients using a pregnancy app as part of their routine prenatal care between April 21 and November 27, 2020. RESULTS: In total, 637 pregnant responders routinely accessed a median of 5 sources for COVID-19 information. The most cited source (79%) was the Centers for Disease Control and Prevention (CDC). Self-reporting evidence-based protective actions was relatively common, although 14% self-reported potentially harmful behaviors to avoid COVID-19 infection. The CDC and other sources were positively associated with engaging in protective behaviors while others (eg, US president Donald Trump) were negatively associated with protective behaviors. Participation in protective behaviors was not associated with refraining from potentially harmful behaviors (P=.93). Moreover, participation in protective behaviors decreased (P=.03) and participation in potentially harmful actions increased (P=.001) over the course of the pandemic. CONCLUSIONS: Pregnant patients were highly engaged in COVID-19-related information-seeking and health behaviors. Clear, targeted, and regular communication from commonly accessed health organizations about which actions may be harmful, in addition to which actions offer protection, may offer needed support to the pregnant population.

Low numeracy is associated with poor financial well-being around the world.

Numeracy refers to the ability to use numbers, including converting percentages (e.g., 10%) into absolute frequencies (e.g., 1 in 10). Studies have suggested that numeracy is correlated to financial outcomes, suggesting its relevance to financial decisions. However, almost all research on numeracy has been conducted in high-income countries in Europe and North America. Our analyses suggest that low numeracy is much more common in low-income countries, thus potentially threatening the financial well-being of the world's poorest. We analyzed data from the Lloyd's Register Foundation World Risk Poll, which assessed basic numeracy in 141 countries, including 21 low-income, 34 lower middle income, 43 upper middle income, and 43 high-income countries. Numeracy was associated with being among the poorest 20% of one's country, and with difficulty living on one's income, even after accounting for income, education, and demographics. These findings underscore the importance of worldwide numeracy education.

Human social sensing is an untapped resource for computational social science.

The ability to 'sense' the social environment and thereby to understand the thoughts and actions of others allows humans to fit into their social worlds, communicate and cooperate, and learn from others' experiences. Here we argue that, through the lens of computational social science, this ability can be used to advance research into human sociality. When strategically selected to represent a specific population of interest, human social sensors can help to describe and predict societal trends. In addition, their reports of how they experience their social worlds can help to build models of social dynamics that are constrained by the empirical reality of human social systems.