Abstract
This paper draws on the experiences of Indian-origin groups in the USA and UK to examine transnational forms of ethnicity. It focuses specifically on ethnic organisations that are engaged in constructing transnational ethnic identities, using religion as a means for constructing new, virtually linked communities. Based on web-based data of Hindu student groups in the USA and UK, this study examines transnational ethnic identities these groups deploy on their websites, and to what extent these are similar across the USA and UK. As Hinduism is a religion with no uniform sets of practices (chosen religious texts, practices and beliefs are culturally, regionally and family dependent), it provides a good basis for examining whether the identities constructed by these groups are transnational, that is, the same elements are emphasised by groups in the two countries to construct ethnic identities that transcend the specificities of the national and local contexts. It also examines the structure of links between websites to show whether websites that appear to be nation-specific are actually linked to each other to create a transnational network. The findings of this study suggest that the study of transnationalism needs to be extended beyond the current focus on ‘home’ and ‘host’ countries to consider what happens in multiple ‘host’ countries. It also shows that organised groups promote homogenised versions of virtual ethnicity as they build transnational networks across countries.
Notes
1. UK HSG is the national network of Hindu student organisations operating on university and further education campuses around the UK. It was started in 1991 from a stall at a Hindu Marathon, but now operates in around 40 different UK institutions. The US HSG was set up in 1990 with support from the Vishwa Hindu Parishad (World Hindu Council) of America. It became administratively independent in 1993 and fully independent in 2003. They currently have more than 75 chapters nationwide.
2. As the two countries may be grossly disproportionate in yielding samples, a more robust manner of assessing relationships would be to assess the agreement between the ranks of the different categories in the two countries. We also tested whether or not this agreement is significant by using a permutation test, using R statistical software package (www.r-project.org), which is a type of statistical significance test in which a reference distribution is obtained by calculating all possible test statistics. This is done by permuting the observed data points across all possible outcomes, given a set of conditions consistent with the null hypothesis.
3. In order to gather hyperlink network data, all the filtered outward links were exported to MS Excel. From those data, only links to organisations within the sample were retained for each site. The ‘within-sample’ links were combined into a summary spreadsheet in MS Excel, based on which an adjacency with cross-links between websites was created.