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Cited by 411

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

The Gender Digital Divide in Developing Countries

Open access
Antonio, Amy, Tuffley, David·2014·Future Internet

Abstract

Empirical studies clearly show that women in the developing world have significantly lower technology participation rates than men; a result of entrenched socio-cultural attitudes about the role of women in society. However, as studies are beginning to show, when those women are able to engage with Internet technology, a wide range of personal, family and community benefits become possible. The key to these benefits is on-line education, the access to which sets up a positive feedback loop. This review gives an overview of the digital divide, before focusing specifically on the challenges women in developing countries face in accessing the Internet. Current gender disparities in Internet use will be outlined and the barriers that potentially hinder women’s access and participation in the online world will be considered. We will then look at the potential opportunities for women’s participation in a global digital society along with a consideration of current initiatives that have been developed to mitigate gender inequity in developing countries. We will also consider a promising avenue for future research.

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Crossref · 10.3390/fi6040673

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Metadata

Authors
Antonio, A., & Tuffley, D.
Venue
Future Internet
Publisher
MDPI AG
Published
2014-10-31
Volume
6
Issue
4
Pages
673-687
ISSN
1999-5903 (ISSN-L)
OpenAlex
W2126452961
Cited by
411
References
13
FWCI
29.47
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The Gender Digital Divide in Developing Countries. https://app.cochat.ai/papers/10.3390/fi6040673
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Antonio, A., & Tuffley, D. (2014). The Gender Digital Divide in Developing Countries. Future Internet. https://doi.org/10.3390/fi6040673

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.