Amidst concern about declining youth political engagement, it is often suggested that social media can provide a solution to this challenge. In this article, however, we argue that these online tools have not thus far mobilised a new audience to become engaged in either institution-oriented activities or political expression. Instead, we found that some young people are far more engaged in using social media for political purposes than others, and that a substantial proportion of young adults never use social media for this purpose. Using latent class analysis (LCA) of a unique web survey of young Britons aged 22-29, we show that the principal driver of online political engagement is political interest (even after controlling for socio-demographic characteristics). On this basis, we conclude that social media may be providing a new outlet for some young adults; it is not re-engaging the young adults who have already lost interest in politics.
This article tackles the issue of social inequalities in voting and identifies how and when differences in learning political engagement are influenced by social background in the school environment between the ages of 11-16 in England. Using Latent Growth Curve Modelling and Regression Analysis on the Citizenship Education Longitudinal (CELS) data this research identifies two elements that influence the political socialisation process: access to political learning and effectiveness in the form of learning in reducing inequalities in political engagement. The results show that there is unequal access by social background to learning political engagement through political activities in school and through an open classroom climate for discussion. However, there is equal access by social background to Citizenship Education in schools and this method of learning political engagement is effective at the age of 15-16 in reducing inequalities in political engagement.
This study adopts a socio-ecological approach to examine multiple factors and processes assumed to shape the intergenerational transmission of social disadvantage, including influences of social change, social causation and social selection. Moving beyond approaches focusing on cumulative risk indices, this study uses latent class analysis to examine how different socio-economic and psycho-social risk factors combine within families and to what extent and how constellations of risk are transmitted from one generation to the next. We draw on data collected for the longitudinal and national representative 1970 British Cohort Study, comprising information on more than 11,000 cohort members and their parents. We identified four distinct risk configurations among the parent generation (G1): low-risk families (57.6%), high-risk families (16.3%), high-risk single-parents (24%) and ethnic minority families (2.1%). Within their offspring (G2) we identified five distinct risk configurations: low-risk families (62%), low-risk no-children (15.1%), moderate-risk single parents (10.1%), moderate-risk large families (8.9%), high socio-economic and high psycho-social risk (4%). There is evidence of structural mobility, and the findings suggest that intergenerational transmission of disadvantage is not just a systemic tendency towards social reproduction, but also reflects processes of social change and social selection. We conclude that a socio-ecological model provides a useful framework for a more comprehensive understanding of the multiple processes involved in the transmission of inter-cohort inequality.
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