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A growing body of literature has noted an age pattern in the sharing of false news in social media, with older people sharing more often misinformation than younger users. In this article we supplement this literature by documenting two distinct but complementary phenomena: Facebook users share more content as they get older regardless of whether it is political; and that this increment in sharing activity as age increases is more intense with political and partisan URLs. Based on the Facebook Privacy-Protected Full URLs Data Set, a vast Facebook database with demographic information of those who saw and shared links on Facebook in 46 countries, we investigate the impact of age on link-sharing activity. We found that in 43 countries, the average age of people who shared links was considerably higher than the age of those who saw the links. In a more detailed study, with Facebook users in South America, we find that the average age increases consecutively in the sharing of non-political content, in the sharing of political content, in the sharing of partisan sites and in the sharing of right-leaning partisan sites.

During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals' experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy.