Preliminary Conference Agenda

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Session Overview
Preliminary Papers 2: Online Communities/ICT for Development
Monday, 26/Mar/2018:
1:30pm - 3:00pm

Session Chair: Pamela Abbott, The University of Sheffield
Location: Lecture Theatre 4 (Diamond)
The Diamond

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iTransformation of a digital village: A community development initiative through ICTs

Safirotu Khoir1, Robert M Davison2

1Universitas Gadjah Mada, Indonesia; 2City University of Hong Kong

The rapid diffusion of ICTs enables people to learn further and develop personal skills. Technology-based communication facilitates people to interact internally and externally, thus creating the opportunity for impacts on their lives in multiple respects. In the traditional life of a small village, the impact of ICTs may be even greater in terms of social life and the domestic economy. In this paper, we discuss how a village in Yogyakarta, Indonesia, embarked on a digital transformation initiative, transforming itself into a cyber-village to support its own community development. We draw on interviews with the local villagers and a village leader who was the key person responsible for initiating the community development project. Our preliminary results show that the initiative successfully supported an increase in quality of life from economic and social perspectives.

The Behavior and Network Position of Peer Production Founders

Jeremy Foote, Noshir Contractor

Northwestern University, United States of America

Online peer production projects, such as Wikipedia and open-source software, have become important producers of cultural and technological goods. While much research has been done on the way that large existing projects work, little is known about how projects get started or who starts them. Nor is it clear how much influence founders have on the future trajectory of a community. We measure the behavior and social networks of 60,959 users on over a two month period. We compare the activity, local network positions, and global network positions of future founders and non-founders. We then explore the relationship between these measures and the relative growth of a founder’s wikis. We suggest hypotheses for future research based on this exploratory analysis.

An Upward Spiral Model: Bridging and Deepening Digital Divide

Biyang Yu1, Ana Ndumu1, Lorri Mon1, Zhenjia Fan2

1florida state university, United States of America; 2Nankai University, China

The digital divide is a global problem that impacts an individual’s ability to participate in society. To address disparate and conflicting theories on the dynamics of the digital divide, the researchers proposed an integrated upward spiral model that explains how digital divides are both alleviated and deepened. The researchers then utilized an existing 2014-2015 dataset comprised of 398 survey responses and nine interview responses from Chinese migrant workers to test the viability of this model. Two hypotheses suggested based on the upward spiral model were supported by path analysis and supplement qualitative analysis of the data: 1. A path traced causal relationship exists among forces, resources, access, e-acceptance, and e-inclusion and 2. Situational e-inclusion initiates forces, which in turn facilitates resources and access, and prompts ongoing cycles of situational e-inclusion. The results support that a comprehensive upward spiral model can be utilized as an analytical framework to explain the reasons and extents to which the digital divide phenomenon exists in society.

Exploration of Online Health Support Groups through the Lens of Sentiment Analysis

Keyang Zheng, Ang Li, Rosta Farzan

University of Pittsburgh, United States of America

Online health support groups have been gaining prominence in supporting patients and their caregivers. However, it stays as a challenge to understand the role they play in the life of their members. In this paper, we propose a novel approach in utilizing sentiment analysis to explore the dynamics and impact of online health support groups. We present our sentiment analysis model designed for social media support groups and our preliminary results in utilizing the model to understand a Facebook support group for patients with Sickle Cell Disease.

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