Wikimedia Research - Programs - Knowledge Gaps

Follow @WikiResearch twitter.com > WikiResearch Wikipedia Reader Navigation: When Synthetic Data Is Enough Jan 2022 Our paper describing how well public clickstream data describes private reader session data (very well) was accepted at WSDM '22. arxiv.org > abs > 2201.00812 Visual Gender Biases in Wikipedia Dec 2021 Our paper describing a systematic evaluation of differences between image usage across biographies across the ten most-spoken languages was accepted at ICWSM '22. osf.io > preprints > socarxiv > 59rey Reader Interactions with Images on Wikipedia Dec 2021 Our paper describing how readers interact with images on English Wikipedia was published at EPJ Data Science. arxiv.org > abs > 2112.01868 Global gender differences in Wikipedia readership Jul 2020 We published a preprint (now accepted to ICWSM 2021) describing the gender distribution of readers on Wikipedia and how gender manifests in records of user behavior. arxiv.org > abs > 2007.10403 Eliciting Interests Blogpost Oct 2019 We published a blogpost describing our recent work in eliciting the interests of new editors. wikimediafoundation.org > news > welcome-to-wikipedia-heres-what-were-doing-to-help-you-stick-around Outstanding Problem-Solution Paper Award Jun 2019 Our paper describing methods for supporting new Wikipedia editors received the Outstanding Problem-Solution Paper Award at ICWSM '19. arxiv.org > abs > 1904.03889 Eliciting New Wikipedia Users' Interests via Automatically Mined Questionnaires Jun 2019 Our paper describing methods for supporting new Wikipedia editors by eliciting their interests and recommending related articles is presented at ICWSM '19. arxiv.org > abs > 1904.03889 Dataset released for Why the World Reads Wikipedia Jan 2019 We have released the dataset of reader motivations from many different countries accompanying our WSDM '19 paper: Why the World Reads Wikipedia. doi.org > 10.6084 > m9.figshare.7579937.v1 Why the World Reads Wikipedia: Beyond English Speakers Dec 2018 Our WSDM '19 paper on Wikipedia reader motivations across many different language editions and countries is now available. arxiv.org > abs > 1812.00474 Structuring Wikipedia Articles with Section Recommendations May 2018 Our paper describing methods for Wikipedia article expansion through recommendation of sections sourced from similar articles is accepted for publication at SIGIR '18. arxiv.org > abs > 1804.05995 Using Wikipedia categories for research: opportunities, challenges, and solutions Mar 2018 Our collaborator Tiziano Piccardi (EPFL) will present at our monthly showcase on language-agnostic methods to extract a pure hierarchy from the Wikipedia graph, part of our work on article expansion recommendations. youtube.com > watch Beyond Automatic Translation: Aligning Wikipedia sections across multiple languages Mar 2018 In this showcase, Diego Saez-Trumper presents research on cross-language section alignment for Wikipedia articles, using Wikidata and cross-lingual word embeddings, and how we're applying these results to improve section recommendations. youtube.com > watch Visual Enrichment of Collaborative Knowledge Bases Feb 2018 Miriam Redi will present at our monthly showcase on opportunities in the use of machine learning and computer vision for the visual enrichment of collaborative knowledge bases, with results from a pilot for recommending high-quality Commons images to Wikidata items. youtube.com > watch Wikipedia explains how those late-night reading binges happen Jan 2018 "Most people visit another link when they look up a topic on Wikipedia." Our study is featured in Engadget. engadget.com > wikipedia-dataset The State of the Article Expansion Recommendation System Dec 2017 In this showcase, Leila Zia gives a comprehensive overview of our work on recommender systems to grow and expand Wikipedia articles across languages, including the result of the first line of experiments on the quality of such recommendations. youtube.com > watch An overview of “Why we read Wikipedia” Jul 2017 A video of a presentation for the Wikimedia Foundation's Metrics and Activities Meeting, with an overview of our research, its takeaways and future directions youtube.com > watch Why we read Wikipedia: New paper Apr 2017 We published a paper with the research methodology and the resulting taxonomy of use cases, and the associated behavioral patterns, of readers of English Wikipedia. arxiv.org > abs > 1702.05379