Name
Title | ||
|---|---|---|
Skillset Distribution for Accelerated Knowledge Building in Crowdsourced Environments |
Abstract | ||
|---|---|---|
Crowdsourcing has revolutionized the process of knowledge building on the web. Wikipedia and StackOverflow are witness to this uprising development. However, the dynamics behind the success of crowdsourcing in the domain of knowledge building is an area relatively unexplored. It has been observed that ecosystem exists in the collaborative knowledge building environments (KBE), which divides the people in a KBE into various categories based on their skills. In this work, we provide a detailed investigation of the process, explaining the reason behind fast and efficient knowledge building in such settings. We follow on Luhmannu0027s theory of autopoietic systems and hypothesize that the existence of categories leads to triggering, which makes a knowledge building system an autopoietic system. This triggering process helps bring a substantial amount of extra knowledge to the system, which would have remained undiscovered otherwise. We quantitatively analyze the contribution of triggered knowledge and find it to be a significant part of the total knowledge generated. We demonstrate that different distribution of users across categories leads to varied amount of knowledge in the system. We further discuss on the ideal distribution of users for accelerated knowledge building. The study will help the portal designers to accordingly build suitable crowdsourced environments. |
Year | Venue | DocType |
|---|---|---|
2015 | arXiv: Human-Computer Interaction | Journal |
Volume | Citations | PageRank |
abs/1510.08282 | 0 | 0.34 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anamika Chhabra | 1 | 1 | 4.08 |
| S. R. S. Iyengar | 2 | 3 | 7.50 |
| Jaspal Singh Saini | 3 | 5 | 4.58 |