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Narratives of integration: Liminality in migrant acculturation through social media

Mitra, Amit and Evansluong, Quang LU (2019) In Technological Forecasting and Social Change 145. p.474-480
Abstract
Migrant integration is a long drawn out process requiring synergies with various dimensions of life, rhyming with those of the host country. In this paper, we attempt to deconstruct the digital narratives of migrant to explore how they may lead to a meaningful assessment of their acculturation and consequent integration in their host societies’. Drawing on acculturation theory as a lens, we argue that migrants’ use of social media creates a liminality that is synonymous to ambiguity and disorientation that may diminish through a composite adaptation of acculturation and ethnic identity. Our data evidence on social media use among migrants domiciled in major cities in Sweden suggest that social media-based interaction of migrants is not... (More)
Migrant integration is a long drawn out process requiring synergies with various dimensions of life, rhyming with those of the host country. In this paper, we attempt to deconstruct the digital narratives of migrant to explore how they may lead to a meaningful assessment of their acculturation and consequent integration in their host societies’. Drawing on acculturation theory as a lens, we argue that migrants’ use of social media creates a liminality that is synonymous to ambiguity and disorientation that may diminish through a composite adaptation of acculturation and ethnic identity. Our data evidence on social media use among migrants domiciled in major cities in Sweden suggest that social media-based interaction of migrants is not encouraging integration, while their digital proclivities tend to define their narratives of online ethnicity and their physical realities. Implications for migrant integration are presented. (Less)
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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
acculturation, social media, migrant, ethnic identity, user generated content, community
in
Technological Forecasting and Social Change
volume
145
pages
474 - 480
publisher
Elsevier
external identifiers
  • scopus:85060354252
ISSN
0040-1625
DOI
10.1016/j.techfore.2019.01.011
language
English
LU publication?
yes
id
344d084f-77ea-4461-890f-f5b29b14abcc
date added to LUP
2019-01-15 15:48:54
date last changed
2022-04-25 20:17:36
@article{344d084f-77ea-4461-890f-f5b29b14abcc,
  abstract     = {{Migrant integration is a long drawn out process requiring synergies with various dimensions of life, rhyming with those of the host country. In this paper, we attempt to deconstruct the digital narratives of migrant to explore how they may lead to a meaningful assessment of their acculturation and consequent integration in their host societies’. Drawing on acculturation theory as a lens, we argue that migrants’ use of social media creates a liminality that is synonymous to ambiguity and disorientation that may diminish through a composite adaptation of acculturation and ethnic identity. Our data evidence on social media use among migrants domiciled in major cities in Sweden suggest that social media-based interaction of migrants is not encouraging integration, while their digital proclivities tend to define their narratives of online ethnicity and their physical realities. Implications for migrant integration are presented.}},
  author       = {{Mitra, Amit and Evansluong, Quang}},
  issn         = {{0040-1625}},
  keywords     = {{acculturation, social media, migrant, ethnic identity, user generated content, community}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{474--480}},
  publisher    = {{Elsevier}},
  series       = {{Technological Forecasting and Social Change}},
  title        = {{Narratives of integration: Liminality in migrant acculturation through social media}},
  url          = {{http://dx.doi.org/10.1016/j.techfore.2019.01.011}},
  doi          = {{10.1016/j.techfore.2019.01.011}},
  volume       = {{145}},
  year         = {{2019}},
}