8 citations · 17 across the 4 of their papers we have counts for
7 papers · 1 filter
Leveraging Recommender Systems to Reduce Content Gaps on Peer Production Platforms
Mo Houtti, Isaac Johnson, Morten Warncke-Wang +1
Peer production platforms like Wikipedia commonly suffer from content gaps. Prior research suggests recommender systems can help solve this problem, by guiding editors towards unde…
Considerations for Multilingual Wikipedia Research
Isaac Johnson, Emily Lescak
English Wikipedia has long been an important data source for much research and natural language machine learning modeling. The growth of non-English language editions of Wikipedia,…
Language-agnostic Topic Classification for Wikipedia
Isaac Johnson, Martin Gerlach, Diego Sáez-Trumper
A major challenge for many analyses of Wikipedia dynamics -- e.g., imbalances in content quality, geographic differences in what content is popular, what types of articles attract…
Analyzing Wikidata Transclusion on English Wikipedia
Isaac Johnson
Wikidata is steadily becoming more central to Wikipedia, not just in maintaining interlanguage links, but in automated population of content within the articles themselves. It is n…
A Taxonomy of Knowledge Gaps for Wikimedia Projects (Second Draft)
Miriam Redi, Martin Gerlach, Isaac Johnson +2
In January 2019, prompted by the Wikimedia Movement's 2030 strategic direction, the Research team at the Wikimedia Foundation identified the need to develop a knowledge gaps index…
Global gender differences in Wikipedia readership
Isaac Johnson, Florian Lemmerich, Diego Sáez-Trumper +3
Wikipedia represents the largest and most popular source of encyclopedic knowledge in the world today, aiming to provide equal access to information worldwide. From a global online…