Designing ICT interventions for women in Pakistan

Mustafa, Maryam; Batool, Amna; Raza, Agha Ali

doi:10.1145/3355696

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…Researchers in the past (Jamil, 2021;Kemp & Berkovitch, 2020;Koehler, 2021;Mustafa et al, 2019;Zulfiqar, 2022) have studied Social Inclusion in regard to financial inclusion and information and communication technology (ICT), but research concerning social inclusion in connection with sustainable development, microfinance, and women's personal empowerment has been less frequently discussed. A possible research and knowledge gap, therefore, may exist.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Development and Women’s Personal Empowerment for Becoming Socially Inclusive: A Study from the Informal Sector in Lahore, Pakistan

2023

LJE

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Women employed in informal sectors are integral to a nation’s overall economic growth, and to better development outcomes. This study aims to examine the capabilities of these women not only in terms of personal empowerment, but in the context of sustainable development via social inclusion. Previous studies have only focused on microcredit as a “magic wand” for increasing women's empowerment and their standard of living, without the inclusion of feminist theory. The inclusion of feminist theory and social inclusion in the discussion concerning the provision of financial support to women in Pakistan, allows us to properly examine the role of sustainable development and women's empowerment in Pakistan. This study is quantitative and descriptive. Using a survey questionnaire on the cross sectional data source, the 118 women borrowers of Lahore, Pakistan, have been investigated by stratified random sampling technique. The Multinomial logit and Probit regression models have been used for data analysis. The study's results supported the actuality that women need t o be financially and personally empowered, in order to benefit from greater social inclusion.

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Section: Literature Reviewmentioning

confidence: 99%

Sustainable Development and Women’s Personal Empowerment for Becoming Socially Inclusive: A Study from the Informal Sector in Lahore, Pakistan

2023

LJE

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“…There were between 200 and 3200 tweets per person in the sample tweets that was gathered. Using Term Frequency-Inverse Document Frequency, as in [1] choose the 100 most frequently used words from the tweets (TF-IDF). Later, they classified these words into emotions using the 14 psychological characteristics from Linguistic Inquiry and Word Count (LIWC).…”

Section: Related Workmentioning

confidence: 99%

Leveraging multi-class sentiment analysis on social media text for detecting signs of depression

S.,

Shanmugavadivel,

et al. 2023

ACE

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Depression is a major disorder that causes an insistent feeling of sadness which affects the thinking and behaviour of the person that leads to variety of emotional and physical problems. Early detection of depression is most important since it is associated with sui-cide and it is also the main cause for somatic diseases. In recent days, people are freely conveying what they think directly through any of the social media. In the proposed re-search work, machine learning, deep learning and hybrid learning approaches are utilized to perform sentiment analysis in order to determine a person's indicators of sadness from their social media postings. All of the aforementioned models use English language social media postings from the shared task introduced by ACL 2022 and categories depression signs into three groups such as not depressed, moderately depressed and severely de-pressed. The experimental results show that among all the machine learning, deep learning and hybrid learning techniques, CNN-LSTM model obtained highest precision of 0.93 for moderate depressed and severe depression categories.

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“…Additionally, women may not have the financial independence needed to pay for Internet connectivity. Fears concerning safety and harassment-both online and offline-also inhibit many women and girls from benefiting from or even wanting to use ICTs (Mustafa et al, 2019).…”

Section: Digital Literacy and Demographic Correlatesmentioning

confidence: 99%

Digital Literacy and Vulnerability to Misinformation

Ali

Qazi

2022

JQD

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Lack of digital literacy can be a major barrier towards improving the informational well-being of Internet users. Using a field survey of 674 Facebook users in urban Pakistan, we find significant differences in individuals' ability to use common Facebook features. We find that digital literacy is lower among older, less educated, lower income and female users, which points to barriers faced by different demographic groups in improving their digital literacy. Moreover, lower digital literacy is associated with worse truth discernment, lower sharing of true news, emotional reactions to online content, but not more confirmation bias.

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Designing ICT interventions for women in Pakistan

Cited by 8 publications

References 5 publications

Sustainable Development and Women’s Personal Empowerment for Becoming Socially Inclusive: A Study from the Informal Sector in Lahore, Pakistan

Sustainable Development and Women’s Personal Empowerment for Becoming Socially Inclusive: A Study from the Informal Sector in Lahore, Pakistan

Leveraging multi-class sentiment analysis on social media text for detecting signs of depression

Digital Literacy and Vulnerability to Misinformation

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