44 citations · 83 across the 10 of their papers we have counts for
13 papers
Increasing Participation in Peer Production Communities with the Newcomer Homepage
Morten Warncke-Wang, Rita Ho, Marshall Miller +1
For peer production communities to be sustainable, they must attract and retain new contributors. Studies have identified social and technical barriers to entry and discovered some…
Publishing Wikipedia usage data with strong privacy guarantees
Temilola Adeleye, Skye Berghel, Damien Desfontaines +9
For almost 20 years, the Wikimedia Foundation has been publishing statistics about how many people visited each Wikipedia page on each day. This data helps Wikipedia editors determ…
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…
Overview of the TREC 2022 Fair Ranking Track
Michael D. Ekstrand, Graham McDonald, Amifa Raj +1
The TREC Fair Ranking Track aims to provide a platform for participants to develop and evaluate novel retrieval algorithms that can provide a fair exposure to a mixture of demograp…
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
"We Need a Woman in Music": Exploring Wikipedia's Values on Article Priority
Mo Houtti, Isaac Johnson, Joel Cepeda +3
Wikipedia -- like most peer production communities -- suffers from a basic problem: the amount of work that needs to be done (articles to be created and improved) exceeds the avail…
Data Governance in the Age of Large-Scale Data-Driven Language Technology
Yacine Jernite, Huu Nguyen, Stella Biderman +18
The recent emergence and adoption of Machine Learning technology, and specifically of Large Language Models, has drawn attention to the need for systematic and transparent manageme…
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…
Detecting and Gauging Impact on Wikipedia Page Views
Xiaoxi Chelsy Xie, Isaac Johnson, Anne Gomez
Understanding how various external campaigns or events affect readership on Wikipedia is important to efforts aimed at improving awareness and access to its content. In this paper,…