Characterizing the Triggering Phenomenon in Wikipedia

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Characterizing the Triggering Phenomenon in Wikipedia
Authors
Anamika Chhabra
S. R. S. Iyengar
Publication date
2018
DOI
10.1145/3233391.3233535
Links
Original

Characterizing the Triggering Phenomenon in Wikipedia - scientific work related to Wikipedia quality published in 2018, written by Anamika Chhabra and S. R. S. Iyengar.

Overview

Collaborative knowledge building achieves better results than individual knowledge building essentially due to the triggering phenomenon taking place among the users in a collaborative setting. Although the literature points to a few theories supporting the existence of this phenomenon, yet these theories have never been validated in real collaborative environments, thus questioning their general prevalence. In this work, authors provide a mechanized way to observe the presence of triggering in knowledge building environments. Authors implement the method on the most-edited articles of Wikipedia and show that it may help in discerning how the existing knowledge leads to the inclusion of more knowledge in these articles. The proposed technique may further be used in other collaborative knowledge building settings as well. The insights obtained from the study will help the portal designers in building portals enabling optimal triggering.

Embed

Wikipedia Quality

Chhabra, Anamika; Iyengar, S. R. S.. (2018). "[[Characterizing the Triggering Phenomenon in Wikipedia]]". ACM Press. DOI: 10.1145/3233391.3233535.

English Wikipedia

{{cite journal |last1=Chhabra |first1=Anamika |last2=Iyengar |first2=S. R. S. |title=Characterizing the Triggering Phenomenon in Wikipedia |date=2018 |doi=10.1145/3233391.3233535 |url=https://wikipediaquality.com/wiki/Characterizing_the_Triggering_Phenomenon_in_Wikipedia |journal=ACM Press}}

HTML

Chhabra, Anamika; Iyengar, S. R. S.. (2018). &quot;<a href="https://wikipediaquality.com/wiki/Characterizing_the_Triggering_Phenomenon_in_Wikipedia">Characterizing the Triggering Phenomenon in Wikipedia</a>&quot;. ACM Press. DOI: 10.1145/3233391.3233535.