Upcoming Research Newsletter: New Papers Open For Review

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Upcoming Research Newsletter: New Papers Open For Review

Mohammed Sadat Abdulai
 Hi everyone,
We’re preparing for the July 2020 research newsletter and looking for contributors. Please take a look at https://etherpad.wikimedia.org/p/WRN202007 and add your name next to any paper you are interested in covering. Our target publication time is  2 August 15:59 UTC. If you can't make this deadline but would like to cover a particular paper in the subsequent issue, leave a note next to the paper's entry below. As usual, short notes and one-paragraph reviews are most welcome.
Highlights from this month:  
   - Approaches to Understanding Indigenous Content Production on Wikipedia
   - Enriching Knowledge Bases with Interesting Negative Statements  

   - From web to SMS: A text summarization of Wikipedia pages with character limitation  

   - Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer  

   - Gender, power and emotions in the collaborative production of knowledge: A large-scale analysis of Wikipedia editor conversations  

   - Global gender differences in Wikipedia readership  

   - Individual Factors that Influence Effort and Contributions on Wikipedia  

   - Reverting Hegemonic Ideology: Research Librarians and Information Professionals as "Critical Editors" of Wikipedia  

   - Tabouid: a Wikipedia-based word guessing game  

   - The Diffusion and Influence of Gratitude Expressions in Large-Scale Cooperation: A Field Experiment in Four Knowledge Networks  

   - Topological Data Analysis on Simple English Wikipedia Articles  

   - Towards Extending Wikipedia with Bidirectional Links  

   - Wiki HUEs: Understanding Wikipedia practices through Hindi, Urdu, and English takes on evolving regional conflict  

   - Wikipedia and Westminster: Quality and Dynamics of Wikipedia Pages about UK Politicians  

   - Wikipedia Citations: A comprehensive dataset of citations with identifiers extracted from English Wikipedia  

   - WikipediaBot: Automated Adversarial Manipulation of Wikipedia Articles  

   - Wikipedia's Network Bias on Controversial Topics

Masssly and Tilman Bayer

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