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Cited by 394

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Social media and migration: Virtual community 2.0

Open access
Komito, Lee·2011·Journal of the American Society for Information Science and Technology

Abstract

Research indicates that migrants' social media usage in Ireland enables a background awareness of friends and acquaintances that supports bonding capital and transnational communities in ways not previously reported. Interview data from 65 Polish and Filipino non-nationals in Ireland provide evidence that their social media practices enable a shared experience with friends and relations living outside Ireland that is not simply an elaboration of the social relations enabled by earlier Internet applications. Social media usage enables a passive monitoring of others, through the circulation of voice, video, text, and pictures, that maintains a low level mutual awareness and supports a dispersed community of affinity. This ambient, or background, awareness of others enhances and supports dispersed communities by contributing to bonding capital. This may lead to significant changes in the process of migration by slowing down the process of integration and participation in host societies while also encouraging continual movement of migrants from one society to another.

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Metadata

Authors
Komito, L.
Venue
Journal of the American Society for Information Science and Technology
Publisher
Wiley
Published
2011-03-22
Volume
62
Issue
6
Pages
1075-1086
ISSN
1532-2882 (ISSN-L)
OpenAlex
W2149078842
Cited by
394
References
4
FWCI
22.28
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Social media and migration: Virtual community 2.0. https://app.cochat.ai/papers/10.1002/asi.21517
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Komito, L. (2011). Social media and migration: Virtual community 2.0. Journal of the American Society for Information Science and Technology. https://doi.org/10.1002/asi.21517

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.