Wikimedia Research/Showcase/Archive/2015/07
July 2015 edit
July 29, 2015 Video: YouTube
- VisualEditor's effect on newly registered users
- By Aaron Halfaker
- It's been nearly two years since we ran an initial study of VisualEditor's effect on newly registered editors. While most of the results of this study were positive (e.g. workload on Wikipedians did not increase), we still saw a significant decrease in the newcomer productivity. In the meantime, the Editing team has made substantial improvements to performance and functionality. In this presentation, I'll report on the results of a new experiment designed to test the effects of enabling this improved VisualEditor software for newly registered users by default. I'll show what we learned from the experiment and discuss some results have opened larger questions about what, exactly, is difficult about being a newcomer to English Wikipedia.
- By Aaron Halfaker
- Wikipedia knowledge graph with DeepDive
- By Juhana Kangaspunta and Thomas Palomares
- Despite the tremendous amount of information present on Wikipedia, only a very little amount is structured. Most of the information is embedded in text and extracting it is a non-trivial challenge. In this project, we try to populate Wikidata, a structured component of Wikipedia, using Deepdive tool to extract relations embedded in the text. We finally extracted more than 140,000 relations with more than 90% average precision.This report is structured as follows: first we present DeepDive and the data that we use for this project. Second, we clarify the relations we focused on so far and explain the implementation and pipeline, including our model, features and extractors. Finally, we detail our results with a thorough precision and recall analysis.
- By Juhana Kangaspunta and Thomas Palomares