Difference between revisions of "Behind the Wikipedia Medical Knowledge Factory: Understanding the Knowledge Dynamic over Time"
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| − | '''Behind the Wikipedia Medical Knowledge Factory: Understanding the Knowledge Dynamic over Time''' - scientific work related to Wikipedia quality published in 2017, written by Reham Al Tamime. | + | '''Behind the Wikipedia Medical Knowledge Factory: Understanding the Knowledge Dynamic over Time''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Reham Al Tamime]]. |
== Overview == | == Overview == | ||
| − | Wikipedia has challenged the way traditional encyclopedia knowledge is built and contested by creating an open sociotechnical environment that allows non-domain experts to contribute to scientific and medical knowledge. The open nature of Wikipedia has been successful in attracting readers to its medical content, but there are doubts about the quality and trustworthiness of its articles. The goal of this research is to increase transparency and trust in Wikipedia medical articles by understanding the process of medical knowledge building over time. Health-related articles in Wikipedia pass through increasing trends in editing activities. In addition, health-related articles include medical controversies that are discussed between editors. By examining the community's levels of engagement and reactions over time through the lens of Actor Network Theory and applying quantitative and qualitative analyses of actors and their relations, the contribution of this work will extend theory to offer both theoretically- and empirically-informed design principles for building and evaluating crowd-sourced knowledge environments that engender trust and maintain transparency. | + | Wikipedia has challenged the way traditional encyclopedia knowledge is built and contested by creating an open sociotechnical environment that allows non-domain experts to contribute to scientific and medical knowledge. The open nature of [[Wikipedia]] has been successful in attracting readers to its medical content, but there are doubts about the quality and trustworthiness of its articles. The goal of this research is to increase transparency and trust in Wikipedia medical articles by understanding the process of medical knowledge building over time. Health-related articles in Wikipedia pass through increasing trends in editing activities. In addition, health-related articles include medical controversies that are discussed between editors. By examining the community's levels of engagement and reactions over time through the lens of Actor Network Theory and applying quantitative and qualitative analyses of actors and their relations, the contribution of this work will extend theory to offer both theoretically- and empirically-informed design principles for building and evaluating crowd-sourced knowledge environments that engender trust and maintain transparency. |
Revision as of 22:41, 14 July 2019
Behind the Wikipedia Medical Knowledge Factory: Understanding the Knowledge Dynamic over Time - scientific work related to Wikipedia quality published in 2017, written by Reham Al Tamime.
Overview
Wikipedia has challenged the way traditional encyclopedia knowledge is built and contested by creating an open sociotechnical environment that allows non-domain experts to contribute to scientific and medical knowledge. The open nature of Wikipedia has been successful in attracting readers to its medical content, but there are doubts about the quality and trustworthiness of its articles. The goal of this research is to increase transparency and trust in Wikipedia medical articles by understanding the process of medical knowledge building over time. Health-related articles in Wikipedia pass through increasing trends in editing activities. In addition, health-related articles include medical controversies that are discussed between editors. By examining the community's levels of engagement and reactions over time through the lens of Actor Network Theory and applying quantitative and qualitative analyses of actors and their relations, the contribution of this work will extend theory to offer both theoretically- and empirically-informed design principles for building and evaluating crowd-sourced knowledge environments that engender trust and maintain transparency.
