Hi everyone,
We’re preparing for the May 2017 research newsletter and looking for contributors. Please take a look at: https://etherpad.wikimedia.org/p/WRN201705 and add your name next to any paper you are interested in covering. Our target publication date is Friday August 4 UTC although actual publication might take place several days later. As usual, short notes and one-paragraph reviews are most welcome.
Highlights from this month:
• “A wound that has been festering since 2007”: The Burma/Myanmar naming controversy and the problem of rarely challenged assumptions on Wikipedia • An algorithm designed to expand Wikipedia in all languages • A productive clash of perspectives? The interplay between articles’ and authors’ perspectives and their impact on Wikipedia edits in a controversial domain • Analysing Timelines of National Histories across Wikipedia Editions: A Comparative Computational Approach • Automatic Classification of Wikipedia Articles by Using Convolutional Neural Network • Conclusion: So, what is the gender breakdown of heads of government? • Connecting the sum of all human knowledge, one edit at a time • Cumulative Experience and Recent Behavior and their Relation to Content Quality on Wikipedia • Cyberfeminism on Wikipedia: Visibility and deliberation in feminist Wikiprojects • Do wikipedia science articles reflect on state-of-the-art research? • Embracing Wikipedia as a teaching and learning tool benefits health professional schools and the populations they serve • Estimating the Quality of Articles in Russian Wikipedia Using the Logical-Linguistic Model of Fact Extraction • How Does Knowledge Come By? • Information Has Value: A View from Three Institutions • Nation image and its dynamic changes in Wikipedia • Projects Wikisource and Wikibooks as information resource • Student perceptions of writing with Wikipedia in Australian higher education • Wikipedia Controversial Articles by Size of Controversy Section • Wikipedia Matters • Wikipedia Vandal Early Detection: from User Behavior to User Embedding by Marry Trame - network, memory, deep learning
If you have any question about the format or process feel free to get in touch off-list.
Masssly, Tilman Bayer and Dario Taraborelli
[1] http://meta.wikimedia.org/ wiki/Research:Newsletter