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Abstract Social capital—the strength of an individual’s social network and community—has been identified as a potential determinant of outcomes ranging from education to health 1–8 . However, efforts to understand what types of social capital matter for these outcomes have been hindered by a lack of social network data. Here, in the first of a pair of papers 9 , we use data on 21 billion friendships from Facebook to study social capital. We measure and analyse three types of social capital by ZIP (postal) code in the United States: (1) connectedness between different types of people, such as those with low versus high socioeconomic status (SES); (2) social cohesion, such as the extent of cliques in friendship networks; and (3) civic engagement, such as rates of volunteering. These measures vary substantially across areas, but are not highly correlated with each other. We demonstrate the importance of distinguishing these forms of social capital by analysing their associations with economic mobility across areas. The share of high-SES friends among individuals with low SES—which we term economic connectedness—is among the strongest predictors of upward income mobility identified to date 10,11 . Other social capital measures are not strongly associated with economic mobility. If children with low-SES parents were to grow up in counties with economic connectedness comparable to that of the average child with high-SES parents, their incomes in adulthood would increase by 20% on average. Differences in economic connectedness can explain well-known relationships between upward income mobility and racial segregation, poverty rates, and inequality 12–14 . To support further research and policy interventions, we publicly release privacy-protected statistics on social capital by ZIP code at https://www.socialcapital.org .
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Fostering social capital in economically distressed communities
Past Information and Communication Technology (ICT) literature suggests that engaging in meaningful activities with ICTs may be related to socio-economic security, social inclusion, empowerment, and increased social capital. However, we identify a pervasive lack of understanding in existing literature, which raises an important research question: how can we build social capital where little social capital exists? We conducted a preliminary study to explore whether and if so, how, individuals in an economically distressed population with limited social capital use technologies to increase social capital and achieve socio-economic security. We contribute details about barriers affecting social capital (e.g., difficulties finding and making the right connections and an overall lack of trust within communities). We also suggest ways in which ICTs can assist populations that could benefit most from increased social capital and economic security.
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- Award ID(s):
- 1352915
- PAR ID:
- 10055045
- Date Published:
- Journal Name:
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Page Range / eLocation ID:
- 531 to 540
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/2556288.2557123
