The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
A Social Informatics Analysis of Refugee Mobile Phone Use: A Case Study of Za’atari Syrian Refugee Camp
Open accessAbstract
Given the scourge of armed conflict and increasing incidents of severe weather, the numbers of displaced persons around the globe is at all-time high. For those fleeing armed conflict, they may arrive in their new location with a mobile phone and in some cases well-developed internet skills. This changing landscape and skill sets of refugees are creating challenges and opportunities alike for the United Nations agencies (e.g. UNHCR, World Food Program, UNICEF) and implementation partners tasked with meeting their needs. Also, as globally the average length of stay in a refugee camp is 17 years, this scenario represents an interesting use case at the intersection of the traditional information and communication technologies for development (ICTD) and crisis informatics disciplines. In particular, this research seeks to understand: What level of mobile phone ownership and use is typical among refugee camp youth? How has their use changed (if at all) between the pre-conflict and refugee lives? What types of internet-based services might interest refugee youth and what are service providers likely to make available? Data for this exploratory research were collected via pen-and-paper survey in the Za’atari Syrian Refugee Camp in Jordan in January 2015. Za’atari is an outlier among refugee camps, with its wealthier and more IT-savvy refugee population. Hence, this analysis helps understand mobile phone use in what is now the state-of-art refugee context, but is likely to reflect future conditions in other camps around the world. Based on data from 174 youth, the research finds 86% of youth own mobile handsets and 83% own SIM cards. Even with reasonably high levels of SIM card ownership, 79% of youth also borrow SIM cards from friends and family. Unsurprisingly, mobile phones are the most popular medium for accessing the internet. This was true in Syria as well, but is even more so in the camp. In the camp, over half of youth access the internet one or more times per day. In terms of communication services, WhatsApp was the most frequently used to communicate to those in both Jordan and Syria, while mobile voice was used more frequently for communicating within Jordan. When asked about favorite online information sources, the six most frequently mentioned were: Google, Facebook, YouTube, Skype, TV and Wikipedia, with Google being significantly more popular. Without resource constraints, the youth indicated they would like more access to Instant Messaging/WhatsApp, news sources and increased opportunities to communicate with people via social media. Like many youth around the globe, the Za’atari youth frequently help family and friends as well as receive help to use the internet. A multivariate analysis examining predictors of camp-based internet use found education, sex and previous experience, respectively, are the most significant predictors. These results are in line with findings on internet use from studies in a variety of contexts. Given the high level of internet use among refugees, they appear to be likely candidates for online programming. However, youth have less computer as compared to mobile phone experience than the adults. Hence, basic computer training may be necessary prior to successful online program implementation. Additionally, our experience and observations in the camp suggest the UN agencies and their implementation partners have the skills to successfully implement such a program. These results provide interesting evidence of the use of mobile phones as an important source of information for displaced persons. It also provides insights into the transition from a crisis to the recovery phase of a disaster. As Za’atari camp continues to grow and develop from a temporary to a somewhat permanent residence, the diversity and complexity of ICT-based services evolves as well.
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“Since smartphones serve as an important communication tool and sometimes represent the only possibility for refugees to have access to the internet [16], smartphones might be of particular value in terms of health-related self-care programs in this particular group.”
From HELP@APP: Development and evaluation of a self-help app for traumatized Syrian refugees in Germany- A study protocol of a randomized controlled trial (2019) · cites this paper as [16]
Citations
Cites
Syrian refugees and information precarity
Wall, M. A., Campbell, M. O., & Janbek, D. M. (2015) · New Media & Society · doi:10.1177/1461444815591967 · Cited by 246
Stories of the Smartphone in everyday discourse: conflict, tension & instability
Harmon, E., & Mazmanian, M. (2013) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2466134 · Cited by 162
Mobile phones in Africa: how much do we really know?
James, J. D., & Versteeg, M. E. (2007) · Social Indicators Research · doi:10.1007/s11205-006-9079-x · Cited by 152
Ahmed, S. I., Jackson, S. J., Ahmed, N., Ferdous, H. S., Rifat, M. R., Rizvi, A. S. M., Ahmed, S., & Mansur, R. S. (2014) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557376 · Cited by 152
Harney, N. D. (2013) · Journal of Refugee Studies · doi:10.1093/jrs/fet017 · Cited by 115
Gitau, S., Marsden, G., & Donner, J. (2010) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753720 · Cited by 114
Social informatics: Perspectives, examples, and trends
Sawyer, S., & Eschenfelder, K. R. (2002) · Annual Review of Information Science and Technology · doi:10.1002/aris.1440360111 · Cited by 106
Aal, K., Yerousis, G., Schubert, K., Hornung, D., Stickel, O., & Wulf, V. (2014) · ACM International Conference on Collaboration Across Boundaries: Culture, Distance & Technology (CABS) · doi:10.1145/2631488.2631498 · Cited by 89
Balestrini, M., Bird, J., Marshall, P., Zaro, A., & Rogers, Y. (2014) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557323 · Cited by 83
Social Media Effectiveness for Public Engagement: Example of Small Nonprofits
Hou, Y., & Lampe, C. A. C. (2015) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702557 · Cited by 75
Research works printed but not linked: 9
- Mara Balestrini, 2014, Understanding sustained community engagement: a case study in heritage preservation in rural Argentina, 2675
- Anna Crowe, 2014, Taking Privacy and Data Protection Seriously in M4D Initiatives, Proceedings of 4th International Conference on M4D Mobile Communication for Development, 107
- Alison Gillwald, 2010, Paper 5 -Gender Assessment of ICT Access and Usage in Africa, Gender Assessment of ICT Access and Usage in Africa. Policy, 1, 1
- 10.1145/2470654.2466134 · DOI
- Kate Judge, 2014, How technology supports family communication in rural, suburban, and urban kenya, Proceedings of the 32nd annual ACM conference on Human factors in computing systems -CHI '14, 2705
- 2014, SmartphoneThe New York Times, The New York Times. 2015. A 21st-Century Migrant's Essentials: Food, Shelter
- Unops, 2014, Press release: Inauguration of Civil Defence Center in Zaatari refugee camp
- Wfp, Staffer Compares Two Refugee Camps: Zaatari and Dadaab
- 10.1145/2470654.2481391 · DOI
Cited by
User-Centered App Adaptation of a Low-Intensity E-Mental Health Intervention for Syrian Refugees
Burchert, S., Alkneme, M. S., Bird, M., Carswell, K., Cuijpers, P., Hansen, P., Heim, E., Harper Shehadeh, M., Sijbrandij, M., van't Hof, E., et al. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00663 · Cited by 160
“While this cannot be ruled out, the results of the free list interviews were in line with previous research on the use of ICTs in refugee populations (21, 24, 55).”
BackgroundResultGolchert, J., Roehr, S., Berg, F., Grochtdreis, T., Hoffmann, R., Jung, F., Nagl, M., Plexnies, A., Renner, A., König, H.-H., et al. (2019) · BMC Psychiatry · doi:10.1186/s12888-019-2110-y · Cited by 40
Metadata
- Authors
- Maitland, C., & Xu, Y.
- Affiliations
- Pennsylvania State University (US)
- Corresponding author
- Maitland, Carleen
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2015
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W2253444203
- Cited by
- 64
- References
- 15
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 7 · 2023: 2 · 2022: 7 · 2021: 8 · 2020: 10 · 2019: 13 · 2018: 5 · 2017: 3 · 2016: 3 · 2015: 2
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- Funders
- National Science Foundation
- Topics
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Social Sciences › Education › Education and experiences of immigrants and refugees
- Social Sciences › Sociology and Political Science › Migration and Exile Studies
- Keywords
- refugee youth, mobile phone ownership, internet access, WhatsApp, social media use, crisis informatics, ICT for development, Syrian refugee camps, Zaatari refugee camp, displaced persons, online information sources, mobile communication services, digital divide, armed conflict displacement, social informatics, instant messaging, news sources
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