A Lightly Supervised Approach to Role Identification in Wikipedia Talk Page Discussions
Keywords:wikipedia, discourse analysis, talk page discussions, nlp, role identification, machine learning
In this paper we describe an application of a lightly supervised Role Identification Model (RIM) to the analysis of coordination in Wikipedia talk page discussions. Our goal is to understand the substance of important coordination roles that predict quality of the Wikipedia pages where the discussions take place. Using the model as a lens, we present an analysis of four important coordination roles identified using the model, including Workers, Critiquers, Encouragers, and Managers.
How to Cite
Ferschke, O., Yang, D., & Rosé, C. (2021). A Lightly Supervised Approach to Role Identification in Wikipedia Talk Page Discussions. Proceedings of the International AAAI Conference on Web and Social Media, 9(5), 43-47. https://doi.org/10.1609/icwsm.v9i5.14691
Wikipedia, a Social Pedia